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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2,407.21448 | Accelerating Image Super-Resolution Networks with Pixel-Level
Classification | ['Jinho Jeong', 'Jinwoo Kim', 'Younghyun Jo', 'Seon Joo Kim'] | ['cs.CV'] | In recent times, the need for effective super-resolution (SR) techniques has
surged, especially for large-scale images ranging 2K to 8K resolutions. For
DNN-based SISR, decomposing images into overlapping patches is typically
necessary due to computational constraints. In such patch-decomposing scheme,
one can allocate... | 2024-07-31T08:53:10Z | Accepted by ECCV 2024 | null | null | Accelerating Image Super-Resolution Networks with Pixel-Level Classification | ['Jinho Jeong', 'Jinwoo Kim', 'Younghyun Jo', 'Seon Joo Kim'] | 2,024 | European Conference on Computer Vision | 2 | 25 | ['Computer Science'] |
2,407.21489 | Maverick: Efficient and Accurate Coreference Resolution Defying Recent
Trends | ['Giuliano Martinelli', 'Edoardo Barba', 'Roberto Navigli'] | ['cs.CL', 'cs.AI'] | Large autoregressive generative models have emerged as the cornerstone for
achieving the highest performance across several Natural Language Processing
tasks. However, the urge to attain superior results has, at times, led to the
premature replacement of carefully designed task-specific approaches without
exhaustive ex... | 2024-07-31T09:58:48Z | Accepted at main conference of ACL 2024. 15 pages | null | null | null | null | null | null | null | null | null |
2,407.2163 | TAROT: Task-Oriented Authorship Obfuscation Using Policy Optimization
Methods | ['Gabriel Loiseau', 'Damien Sileo', 'Damien Riquet', 'Maxime Meyer', 'Marc Tommasi'] | ['cs.CL'] | Authorship obfuscation aims to disguise the identity of an author within a
text by altering the writing style, vocabulary, syntax, and other linguistic
features associated with the text author. This alteration needs to balance
privacy and utility. While strong obfuscation techniques can effectively hide
the author's id... | 2024-07-31T14:24:01Z | Accepted to the NAACL PrivateNLP 2025 Workshop | null | null | TAROT: Task-Oriented Authorship Obfuscation Using Policy Optimization Methods | ['Gabriel Loiseau', 'Damien Sileo', 'Damien Riquet', 'Maxime Meyer', 'Marc Tommasi'] | 2,024 | Proceedings of the Sixth Workshop on Privacy in Natural Language Processing | 0 | 43 | ['Computer Science'] |
2,407.21705 | Tora: Trajectory-oriented Diffusion Transformer for Video Generation | ['Zhenghao Zhang', 'Junchao Liao', 'Menghao Li', 'Zuozhuo Dai', 'Bingxue Qiu', 'Siyu Zhu', 'Long Qin', 'Weizhi Wang'] | ['cs.CV'] | Recent advancements in Diffusion Transformer (DiT) have demonstrated
remarkable proficiency in producing high-quality video content. Nonetheless,
the potential of transformer-based diffusion models for effectively generating
videos with controllable motion remains an area of limited exploration. This
paper introduces T... | 2024-07-31T15:53:20Z | CVPR 2025 Conference Proceedings | null | null | null | null | null | null | null | null | null |
2,407.21721 | Open-Vocabulary Audio-Visual Semantic Segmentation | ['Ruohao Guo', 'Liao Qu', 'Dantong Niu', 'Yanyu Qi', 'Wenzhen Yue', 'Ji Shi', 'Bowei Xing', 'Xianghua Ying'] | ['cs.MM', 'cs.AI'] | Audio-visual semantic segmentation (AVSS) aims to segment and classify
sounding objects in videos with acoustic cues. However, most approaches operate
on the close-set assumption and only identify pre-defined categories from
training data, lacking the generalization ability to detect novel categories in
practical appli... | 2024-07-31T16:14:09Z | Accepted by ACM MM 2024 (Oral) | null | null | Open-Vocabulary Audio-Visual Semantic Segmentation | ['Ruohao Guo', 'Liao Qu', 'Dantong Niu', 'Yanyu Qi', 'Wenzhen Yue', 'Ji Shi', 'Bowei Xing', 'Xianghua Ying'] | 2,024 | ACM Multimedia | 8 | 35 | ['Computer Science'] |
2,407.21772 | ShieldGemma: Generative AI Content Moderation Based on Gemma | ['Wenjun Zeng', 'Yuchi Liu', 'Ryan Mullins', 'Ludovic Peran', 'Joe Fernandez', 'Hamza Harkous', 'Karthik Narasimhan', 'Drew Proud', 'Piyush Kumar', 'Bhaktipriya Radharapu', 'Olivia Sturman', 'Oscar Wahltinez'] | ['cs.CL', 'cs.LG'] | We present ShieldGemma, a comprehensive suite of LLM-based safety content
moderation models built upon Gemma2. These models provide robust,
state-of-the-art predictions of safety risks across key harm types (sexually
explicit, dangerous content, harassment, hate speech) in both user input and
LLM-generated output. By e... | 2024-07-31T17:48:14Z | null | null | null | null | null | null | null | null | null | null |
2,407.21783 | The Llama 3 Herd of Models | ['Aaron Grattafiori', 'Abhimanyu Dubey', 'Abhinav Jauhri', 'Abhinav Pandey', 'Abhishek Kadian', 'Ahmad Al-Dahle', 'Aiesha Letman', 'Akhil Mathur', 'Alan Schelten', 'Alex Vaughan', 'Amy Yang', 'Angela Fan', 'Anirudh Goyal', 'Anthony Hartshorn', 'Aobo Yang', 'Archi Mitra', 'Archie Sravankumar', 'Artem Korenev', 'Arthur H... | ['cs.AI', 'cs.CL', 'cs.CV'] | Modern artificial intelligence (AI) systems are powered by foundation models.
This paper presents a new set of foundation models, called Llama 3. It is a
herd of language models that natively support multilinguality, coding,
reasoning, and tool usage. Our largest model is a dense Transformer with 405B
parameters and a ... | 2024-07-31T17:54:27Z | null | null | null | The Llama 3 Herd of Models | ['Abhimanyu Dubey', 'Abhinav Jauhri', 'Abhinav Pandey', 'Abhishek Kadian', 'Ahmad Al-Dahle', 'Aiesha Letman', 'Akhil Mathur', 'Alan Schelten', 'Amy Yang', 'Angela Fan', 'Anirudh Goyal', 'Anthony S. Hartshorn', 'Aobo Yang', 'Archi Mitra', 'A. Sravankumar', 'A. Korenev', 'Arthur Hinsvark', 'Arun Rao', 'Aston Zhang', "Aur... | 2,024 | arXiv.org | 6,307 | 0 | ['Computer Science'] |
2,408.00103 | ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation
Extraction on an Academic Budget | ['Riccardo Orlando', 'Pere-Lluis Huguet Cabot', 'Edoardo Barba', 'Roberto Navigli'] | ['cs.CL', 'cs.AI'] | Entity Linking (EL) and Relation Extraction (RE) are fundamental tasks in
Natural Language Processing, serving as critical components in a wide range of
applications. In this paper, we propose ReLiK, a Retriever-Reader architecture
for both EL and RE, where, given an input text, the Retriever module undertakes
the iden... | 2024-07-31T18:25:49Z | Findings of the Association for Computational Linguistics ACL 2024 | null | null | null | null | null | null | null | null | null |
2,408.00118 | Gemma 2: Improving Open Language Models at a Practical Size | ['Gemma Team', 'Morgane Riviere', 'Shreya Pathak', 'Pier Giuseppe Sessa', 'Cassidy Hardin', 'Surya Bhupatiraju', 'Léonard Hussenot', 'Thomas Mesnard', 'Bobak Shahriari', 'Alexandre Ramé', 'Johan Ferret', 'Peter Liu', 'Pouya Tafti', 'Abe Friesen', 'Michelle Casbon', 'Sabela Ramos', 'Ravin Kumar', 'Charline Le Lan', 'Sam... | ['cs.CL', 'cs.AI'] | In this work, we introduce Gemma 2, a new addition to the Gemma family of
lightweight, state-of-the-art open models, ranging in scale from 2 billion to
27 billion parameters. In this new version, we apply several known technical
modifications to the Transformer architecture, such as interleaving
local-global attentions... | 2024-07-31T19:13:07Z | null | null | null | null | null | null | null | null | null | null |
2,408.00137 | Correcting Negative Bias in Large Language Models through Negative
Attention Score Alignment | ['Sangwon Yu', 'Jongyoon Song', 'Bongkyu Hwang', 'Hoyoung Kang', 'Sooah Cho', 'Junhwa Choi', 'Seongho Joe', 'Taehee Lee', 'Youngjune L. Gwon', 'Sungroh Yoon'] | ['cs.CL', 'cs.AI'] | A binary decision task, like yes-no questions or answer verification,
reflects a significant real-world scenario such as where users look for
confirmation about the correctness of their decisions on specific issues. In
this work, we observe that language models exhibit a negative bias in the
binary decisions of complex... | 2024-07-31T19:50:57Z | NAACL 2025 Oral | null | null | Correcting Negative Bias in Large Language Models through Negative Attention Score Alignment | ['Sangwon Yu', 'Jongyoon Song', 'Bongkyu Hwang', 'Hoyoung Kang', 'Sooah Cho', 'Junhwa Choi', 'Seongho Joe', 'Taehee Lee', 'Youngjune Gwon', 'Sungroh Yoon'] | 2,024 | North American Chapter of the Association for Computational Linguistics | 6 | 29 | ['Computer Science'] |
2,408.00203 | OmniParser for Pure Vision Based GUI Agent | ['Yadong Lu', 'Jianwei Yang', 'Yelong Shen', 'Ahmed Awadallah'] | ['cs.CV', 'cs.AI', 'cs.CL', 'cs.LG'] | The recent success of large vision language models shows great potential in
driving the agent system operating on user interfaces. However, we argue that
the power multimodal models like GPT-4V as a general agent on multiple
operating systems across different applications is largely underestimated due
to the lack of a ... | 2024-08-01T00:00:43Z | null | null | null | null | null | null | null | null | null | null |
2,408.00264 | Clover-2: Accurate Inference for Regressive Lightweight Speculative
Decoding | ['Bin Xiao', 'Lujun Gui', 'Lei Su', 'Weipeng Chen'] | ['cs.CL', 'cs.AI', 'cs.LG'] | Large Language Models (LLMs) frequently suffer from inefficiencies, largely
attributable to the discord between the requirements of auto-regressive
decoding and the architecture of contemporary GPUs. Recently, regressive
lightweight speculative decoding has garnered attention for its notable
efficiency improvements in ... | 2024-08-01T03:43:32Z | null | null | null | null | null | null | null | null | null | null |
2,408.00298 | Tails Tell Tales: Chapter-Wide Manga Transcriptions with Character Names | ['Ragav Sachdeva', 'Gyungin Shin', 'Andrew Zisserman'] | ['cs.CV'] | Enabling engagement of manga by visually impaired individuals presents a
significant challenge due to its inherently visual nature. With the goal of
fostering accessibility, this paper aims to generate a dialogue transcript of a
complete manga chapter, entirely automatically, with a particular emphasis on
ensuring narr... | 2024-08-01T05:47:04Z | null | null | null | null | null | null | null | null | null | null |
2,408.0038 | EXAONEPath 1.0 Patch-level Foundation Model for Pathology | ['Juseung Yun', 'Yi Hu', 'Jinhyung Kim', 'Jongseong Jang', 'Soonyoung Lee'] | ['cs.LG', 'cs.AI', 'cs.CV'] | Recent advancements in digital pathology have led to the development of
numerous foundational models that utilize self-supervised learning on patches
extracted from gigapixel whole slide images (WSIs). While this approach
leverages vast amounts of unlabeled data, we have discovered a significant
issue: features extract... | 2024-08-01T08:41:13Z | License updated | null | null | null | null | null | null | null | null | null |
2,408.00584 | Non Verbis, Sed Rebus: Large Language Models are Weak Solvers of Italian
Rebuses | ['Gabriele Sarti', 'Tommaso Caselli', 'Malvina Nissim', 'Arianna Bisazza'] | ['cs.CL', 'cs.AI'] | Rebuses are puzzles requiring constrained multi-step reasoning to identify a
hidden phrase from a set of images and letters. In this work, we introduce a
large collection of verbalized rebuses for the Italian language and use it to
assess the rebus-solving capabilities of state-of-the-art large language
models. While g... | 2024-08-01T14:14:15Z | Code: https://github.com/gsarti/verbalized-rebus. Artifacts:
https://huggingface.co/collections/gsarti/verbalized-rebus-clic-it-2024-66ab8f11cb04e68bdf4fb028 | null | null | Non Verbis, Sed Rebus: Large Language Models Are Weak Solvers of Italian Rebuses | ['Gabriele Sarti', 'Tommaso Caselli', 'Malvina Nissim', 'Arianna Bisazza'] | 2,024 | CLICIT | 1 | 42 | ['Computer Science'] |
2,408.00591 | Regional quality estimation for echocardiography using deep learning | ['Gilles Van De Vyver', 'Svein-Erik Måsøy', 'Håvard Dalen', 'Bjørnar Leangen Grenne', 'Espen Holte', 'Sindre Hellum Olaisen', 'John Nyberg', 'Andreas Østvik', 'Lasse Løvstakken', 'Erik Smistad'] | ['eess.IV', 'cs.CV'] | Automatic estimation of cardiac ultrasound image quality can be beneficial
for guiding operators and ensuring the accuracy of clinical measurements.
Previous work often fails to distinguish the view correctness of the
echocardiogram from the image quality. Additionally, previous studies only
provide a global image qual... | 2024-08-01T14:20:47Z | null | null | null | null | null | null | null | null | null | null |
2,408.00653 | SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and
Illumination Disentanglement | ['Mark Boss', 'Zixuan Huang', 'Aaryaman Vasishta', 'Varun Jampani'] | ['cs.CV', 'cs.GR'] | We present SF3D, a novel method for rapid and high-quality textured object
mesh reconstruction from a single image in just 0.5 seconds. Unlike most
existing approaches, SF3D is explicitly trained for mesh generation,
incorporating a fast UV unwrapping technique that enables swift texture
generation rather than relying ... | 2024-08-01T15:41:57Z | null | null | null | SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement | ['Mark Boss', 'Zixuan Huang', 'Aaryaman Vasishta', 'Varun Jampani'] | 2,024 | arXiv.org | 36 | 76 | ['Computer Science'] |
2,408.0069 | Improving Text Embeddings for Smaller Language Models Using Contrastive
Fine-tuning | ['Trapoom Ukarapol', 'Zhicheng Lee', 'Amy Xin'] | ['cs.CL'] | While Large Language Models show remarkable performance in natural language
understanding, their resource-intensive nature makes them less accessible. In
contrast, smaller language models such as MiniCPM offer more sustainable
scalability, but often underperform without specialized optimization. In this
paper, we explo... | 2024-08-01T16:31:35Z | Code: https://github.com/trapoom555/Language-Model-STS-CFT,
Huggingface:
https://huggingface.co/collections/trapoom555/small-lms-text-embedding-663b3ec87527788a577f6852 | null | null | null | null | null | null | null | null | null |
2,408.00714 | SAM 2: Segment Anything in Images and Videos | ['Nikhila Ravi', 'Valentin Gabeur', 'Yuan-Ting Hu', 'Ronghang Hu', 'Chaitanya Ryali', 'Tengyu Ma', 'Haitham Khedr', 'Roman Rädle', 'Chloe Rolland', 'Laura Gustafson', 'Eric Mintun', 'Junting Pan', 'Kalyan Vasudev Alwala', 'Nicolas Carion', 'Chao-Yuan Wu', 'Ross Girshick', 'Piotr Dollár', 'Christoph Feichtenhofer'] | ['cs.CV', 'cs.AI', 'cs.LG'] | We present Segment Anything Model 2 (SAM 2), a foundation model towards
solving promptable visual segmentation in images and videos. We build a data
engine, which improves model and data via user interaction, to collect the
largest video segmentation dataset to date. Our model is a simple transformer
architecture with ... | 2024-08-01T17:00:08Z | Website: https://ai.meta.com/sam2 | null | null | null | null | null | null | null | null | null |
2,408.00724 | Inference Scaling Laws: An Empirical Analysis of Compute-Optimal
Inference for Problem-Solving with Language Models | ['Yangzhen Wu', 'Zhiqing Sun', 'Shanda Li', 'Sean Welleck', 'Yiming Yang'] | ['cs.AI'] | While the scaling laws of large language models (LLMs) training have been
extensively studied, optimal inference configurations of LLMs remain
underexplored. We study inference scaling laws (aka test-time scaling laws) and
compute-optimal inference, focusing on the trade-offs between model sizes and
generating addition... | 2024-08-01T17:16:04Z | null | null | null | Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for LLM Problem-Solving | ['Yangzhen Wu', 'Zhiqing Sun', 'Shanda Li', 'S. Welleck', 'Yiming Yang'] | 2,024 | International Conference on Learning Representations | 128 | 60 | ['Computer Science'] |
2,408.00738 | Virchow2: Scaling Self-Supervised Mixed Magnification Models in
Pathology | ['Eric Zimmermann', 'Eugene Vorontsov', 'Julian Viret', 'Adam Casson', 'Michal Zelechowski', 'George Shaikovski', 'Neil Tenenholtz', 'James Hall', 'David Klimstra', 'Razik Yousfi', 'Thomas Fuchs', 'Nicolo Fusi', 'Siqi Liu', 'Kristen Severson'] | ['cs.CV'] | Foundation models are rapidly being developed for computational pathology
applications. However, it remains an open question which factors are most
important for downstream performance with data scale and diversity, model size,
and training algorithm all playing a role. In this work, we propose algorithmic
modification... | 2024-08-01T17:35:58Z | null | null | null | Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology | ['Eric Zimmermann', 'Eugene Vorontsov', 'Julian Viret', 'Adam Casson', 'Michal Zelechowski', 'George Shaikovski', 'Neil Tenenholtz', 'James Hall', 'Thomas J Fuchs', 'Nicolò Fusi', 'Siqi Liu', 'Kristen Severson'] | 2,024 | arXiv.org | 40 | 64 | ['Computer Science'] |
2,408.0076 | Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy
Curvature of Attention | ['Susung Hong'] | ['cs.CV', 'cs.AI', 'cs.LG'] | Conditional diffusion models have shown remarkable success in visual content
generation, producing high-quality samples across various domains, largely due
to classifier-free guidance (CFG). Recent attempts to extend guidance to
unconditional models have relied on heuristic techniques, resulting in
suboptimal generatio... | 2024-08-01T17:59:09Z | Accepted to NeurIPS 2024 | null | null | null | null | null | null | null | null | null |
2,408.00761 | Tamper-Resistant Safeguards for Open-Weight LLMs | ['Rishub Tamirisa', 'Bhrugu Bharathi', 'Long Phan', 'Andy Zhou', 'Alice Gatti', 'Tarun Suresh', 'Maxwell Lin', 'Justin Wang', 'Rowan Wang', 'Ron Arel', 'Andy Zou', 'Dawn Song', 'Bo Li', 'Dan Hendrycks', 'Mantas Mazeika'] | ['cs.LG', 'cs.AI', 'cs.CL'] | Rapid advances in the capabilities of large language models (LLMs) have
raised widespread concerns regarding their potential for malicious use.
Open-weight LLMs present unique challenges, as existing safeguards lack
robustness to tampering attacks that modify model weights. For example, recent
works have demonstrated t... | 2024-08-01T17:59:12Z | Website: https://www.tamper-resistant-safeguards.com | null | null | null | null | null | null | null | null | null |
2,408.00892 | Peptide Sequencing Via Protein Language Models | ['Thuong Le Hoai Pham', 'Jillur Rahman Saurav', 'Aisosa A. Omere', 'Calvin J. Heyl', 'Mohammad Sadegh Nasr', 'Cody Tyler Reynolds', 'Jai Prakash Yadav Veerla', 'Helen H Shang', 'Justyn Jaworski', 'Alison Ravenscraft', 'Joseph Anthony Buonomo', 'Jacob M. Luber'] | ['q-bio.BM', 'cs.LG'] | We introduce a protein language model for determining the complete sequence
of a peptide based on measurement of a limited set of amino acids. To date,
protein sequencing relies on mass spectrometry, with some novel edman
degregation based platforms able to sequence non-native peptides. Current
protein sequencing techn... | 2024-08-01T20:12:49Z | null | null | null | Peptide Sequencing Via Protein Language Models | ['T. Pham', 'Jillur Rahman Saurav', 'Aisosa A. Omere', 'Calvin J. Heyl', 'M. Nasr', 'Cody T. Reynolds', 'Jai Prakash Veerla', 'Helen H. Shang', 'J. Jaworski', 'Alison Ravenscraft', 'Joseph A. Buonomo', 'Jacob M. Luber'] | 2,024 | ACM International Conference on Bioinformatics, Computational Biology and Biomedicine | 1 | 67 | ['Computer Science', 'Biology'] |
2,408.01262 | RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework | ['Kunlun Zhu', 'Yifan Luo', 'Dingling Xu', 'Yukun Yan', 'Zhenghao Liu', 'Shi Yu', 'Ruobing Wang', 'Shuo Wang', 'Yishan Li', 'Nan Zhang', 'Xu Han', 'Zhiyuan Liu', 'Maosong Sun'] | ['cs.CL', 'cs.IR'] | Retrieval-Augmented Generation (RAG) is a powerful approach that enables
large language models (LLMs) to incorporate external knowledge. However,
evaluating the effectiveness of RAG systems in specialized scenarios remains
challenging due to the high costs of data construction and the lack of suitable
evaluation metric... | 2024-08-02T13:35:11Z | https://github.com/OpenBMB/RAGEval | null | null | RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework | ['Kunlun Zhu', 'Yifan Luo', 'Dingling Xu', 'Ruobing Wang', 'Shi Yu', 'Shuo Wang', 'Yukun Yan', 'Zhenghao Liu', 'Xu Han', 'Zhiyuan Liu', 'Maosong Sun'] | 2,024 | arXiv.org | 21 | 60 | ['Computer Science'] |
2,408.01605 | CYBERSECEVAL 3: Advancing the Evaluation of Cybersecurity Risks and
Capabilities in Large Language Models | ['Shengye Wan', 'Cyrus Nikolaidis', 'Daniel Song', 'David Molnar', 'James Crnkovich', 'Jayson Grace', 'Manish Bhatt', 'Sahana Chennabasappa', 'Spencer Whitman', 'Stephanie Ding', 'Vlad Ionescu', 'Yue Li', 'Joshua Saxe'] | ['cs.CR', 'cs.LG'] | We are releasing a new suite of security benchmarks for LLMs, CYBERSECEVAL 3,
to continue the conversation on empirically measuring LLM cybersecurity risks
and capabilities. CYBERSECEVAL 3 assesses 8 different risks across two broad
categories: risk to third parties, and risk to application developers and end
users. Co... | 2024-08-02T23:47:27Z | null | null | null | CYBERSECEVAL 3: Advancing the Evaluation of Cybersecurity Risks and Capabilities in Large Language Models | ['Shengye Wan', 'Cyrus Nikolaidis', 'Daniel Song', 'David Molnar', 'James Crnkovich', 'Jayson Grace', 'Manish Bhatt', 'Sa-hana Chennabasappa', 'Spencer Whitman', 'Stephanie Ding', 'Vlad Ionescu', 'Yue Li', 'Joshua Saxe'] | 2,024 | arXiv.org | 22 | 16 | ['Computer Science'] |
2,408.018 | MiniCPM-V: A GPT-4V Level MLLM on Your Phone | ['Yuan Yao', 'Tianyu Yu', 'Ao Zhang', 'Chongyi Wang', 'Junbo Cui', 'Hongji Zhu', 'Tianchi Cai', 'Haoyu Li', 'Weilin Zhao', 'Zhihui He', 'Qianyu Chen', 'Huarong Zhou', 'Zhensheng Zou', 'Haoye Zhang', 'Shengding Hu', 'Zhi Zheng', 'Jie Zhou', 'Jie Cai', 'Xu Han', 'Guoyang Zeng', 'Dahai Li', 'Zhiyuan Liu', 'Maosong Sun'] | ['cs.CV'] | The recent surge of Multimodal Large Language Models (MLLMs) has
fundamentally reshaped the landscape of AI research and industry, shedding
light on a promising path toward the next AI milestone. However, significant
challenges remain preventing MLLMs from being practical in real-world
applications. The most notable ch... | 2024-08-03T15:02:21Z | preprint | null | null | MiniCPM-V: A GPT-4V Level MLLM on Your Phone | ['Yuan Yao', 'Tianyu Yu', 'Ao Zhang', 'Chongyi Wang', 'Junbo Cui', 'Hongji Zhu', 'Tianchi Cai', 'Haoyu Li', 'Weilin Zhao', 'Zhihui He', 'Qi-An Chen', 'Huarong Zhou', 'Zhensheng Zou', 'Haoye Zhang', 'Shengding Hu', 'Zhi Zheng', 'Jie Zhou', 'Jie Cai', 'Xu Han', 'Guoyang Zeng', 'Dahai Li', 'Zhiyuan Liu', 'Maosong Sun'] | 2,024 | arXiv.org | 481 | 0 | ['Computer Science'] |
2,408.01852 | Sólo Escúchame: Spanish Emotional Accompaniment Chatbot | ['Bruno Gil Ramírez', 'Jessica López Espejel', 'María del Carmen Santiago Díaz', 'Gustavo Trinidad Rubín Linares'] | ['cs.CL'] | According to the World Health Organization (WHO), suicide was the fourth
leading cause of death in the world for individuals aged 15 to 29 in 2019.
Given the rapid increase in mental health issues, providing psychological
support is both crucial and urgent. In this paper: (1) we propose S\'olo
Esc\'uchame, the first op... | 2024-08-03T19:33:33Z | Accepted at the 23rd Mexican International Conference on Artificial
Intelligence (MICAI) 2024 | null | null | null | null | null | null | null | null | null |
2,408.02034 | Mini-Monkey: Alleviating the Semantic Sawtooth Effect for Lightweight
MLLMs via Complementary Image Pyramid | ['Mingxin Huang', 'Yuliang Liu', 'Dingkang Liang', 'Lianwen Jin', 'Xiang Bai'] | ['cs.CV'] | Recently, scaling images to high resolution has received much attention in
multimodal large language models (MLLMs). Most existing practices adopt a
sliding-window-style cropping strategy to adapt to resolution increase. Such a
cropping strategy, however, can easily cut off objects and connected regions,
which introduc... | 2024-08-04T13:55:58Z | null | null | null | null | null | null | null | null | null | null |
2,408.02239 | Pula: Training Large Language Models for Setswana | ['Nathan Brown', 'Vukosi Marivate'] | ['cs.CL'] | In this work we present Pula, a suite of bilingual language models proficient
in both Setswana and English. Leveraging recent advancements in data
availability and efficient fine-tuning, Pula 8B and Pula 14B outperform GPT-4o
and Gemini 1.5 Pro on English-Setswana translation tasks and achieve
state-of-the-art performa... | 2024-08-05T05:15:17Z | NAACL 2025. 10 pages, 5 tables, 1 figure | null | null | null | null | null | null | null | null | null |
2,408.02442 | Let Me Speak Freely? A Study on the Impact of Format Restrictions on
Performance of Large Language Models | ['Zhi Rui Tam', 'Cheng-Kuang Wu', 'Yi-Lin Tsai', 'Chieh-Yen Lin', 'Hung-yi Lee', 'Yun-Nung Chen'] | ['cs.CL'] | Structured generation, the process of producing content in standardized
formats like JSON and XML, is widely utilized in real-world applications to
extract key output information from large language models (LLMs). This study
investigates whether such constraints on generation space impact LLMs
abilities, including reas... | 2024-08-05T13:08:24Z | 18 pages | null | null | null | null | null | null | null | null | null |
2,408.02555 | MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh
Tokenization | ['Yiwen Chen', 'Yikai Wang', 'Yihao Luo', 'Zhengyi Wang', 'Zilong Chen', 'Jun Zhu', 'Chi Zhang', 'Guosheng Lin'] | ['cs.CV', 'cs.AI', 'cs.GR'] | Meshes are the de facto 3D representation in the industry but are
labor-intensive to produce. Recently, a line of research has focused on
autoregressively generating meshes. This approach processes meshes into a
sequence composed of vertices and then generates them vertex by vertex, similar
to how a language model gene... | 2024-08-05T15:33:45Z | Project Page: https://buaacyw.github.io/meshanything-v2/ Github:
https://github.com/buaacyw/MeshAnythingV2 | null | null | MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization | ['Yiwen Chen', 'Yikai Wang', 'Yihao Luo', 'Zhengyi Wang', 'Zilong Chen', 'Jun Zhu', 'Chi Zhang', 'Guosheng Lin'] | 2,024 | arXiv.org | 31 | 34 | ['Computer Science'] |
2,408.02629 | VidGen-1M: A Large-Scale Dataset for Text-to-video Generation | ['Zhiyu Tan', 'Xiaomeng Yang', 'Luozheng Qin', 'Hao Li'] | ['cs.CV'] | The quality of video-text pairs fundamentally determines the upper bound of
text-to-video models. Currently, the datasets used for training these models
suffer from significant shortcomings, including low temporal consistency,
poor-quality captions, substandard video quality, and imbalanced data
distribution. The preva... | 2024-08-05T16:53:23Z | project page: https://sais-fuxi.github.io/projects/vidgen-1m | null | null | null | null | null | null | null | null | null |
2,408.02657 | Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation
with Multimodal Generative Pretraining | ['Dongyang Liu', 'Shitian Zhao', 'Le Zhuo', 'Weifeng Lin', 'Yi Xin', 'Xinyue Li', 'Qi Qin', 'Yu Qiao', 'Hongsheng Li', 'Peng Gao'] | ['cs.CV'] | We present Lumina-mGPT, a family of multimodal autoregressive models capable
of various vision and language tasks, particularly excelling in generating
flexible photorealistic images from text descriptions. By initializing from
multimodal Generative PreTraining (mGPT), we demonstrate that decoder-only
Autoregressive (A... | 2024-08-05T17:46:53Z | Code available at: https://github.com/Alpha-VLLM/Lumina-mGPT | null | null | Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative Pretraining | ['Dongyang Liu', 'Shitian Zhao', 'Le Zhuo', 'Weifeng Lin', 'Yu Qiao', 'Hongsheng Li', 'Peng Gao'] | 2,024 | arXiv.org | 59 | 98 | ['Computer Science'] |
2,408.02666 | Self-Taught Evaluators | ['Tianlu Wang', 'Ilia Kulikov', 'Olga Golovneva', 'Ping Yu', 'Weizhe Yuan', 'Jane Dwivedi-Yu', 'Richard Yuanzhe Pang', 'Maryam Fazel-Zarandi', 'Jason Weston', 'Xian Li'] | ['cs.CL', 'cs.AI'] | Model-based evaluation is at the heart of successful model development -- as
a reward model for training, and as a replacement for human evaluation. To
train such evaluators, the standard approach is to collect a large amount of
human preference judgments over model responses, which is costly and the data
becomes stale... | 2024-08-05T17:57:02Z | null | null | null | null | null | null | null | null | null | null |
2,408.03078 | BodySLAM: A Generalized Monocular Visual SLAM Framework for Surgical
Applications | ['G. Manni', 'C. Lauretti', 'F. Prata', 'R. Papalia', 'L. Zollo', 'P. Soda'] | ['cs.CV', 'cs.AI', 'cs.RO'] | Endoscopic surgery relies on two-dimensional views, posing challenges for
surgeons in depth perception and instrument manipulation. While Monocular
Visual Simultaneous Localization and Mapping (MVSLAM) has emerged as a
promising solution, its implementation in endoscopic procedures faces
significant challenges due to h... | 2024-08-06T10:13:57Z | 16 pages, 7 figures | null | null | null | null | null | null | null | null | null |
2,408.03209 | IPAdapter-Instruct: Resolving Ambiguity in Image-based Conditioning
using Instruct Prompts | ['Ciara Rowles', 'Shimon Vainer', 'Dante De Nigris', 'Slava Elizarov', 'Konstantin Kutsy', 'Simon Donné'] | ['cs.CV'] | Diffusion models continuously push the boundary of state-of-the-art image
generation, but the process is hard to control with any nuance: practice proves
that textual prompts are inadequate for accurately describing image style or
fine structural details (such as faces). ControlNet and IPAdapter address this
shortcomin... | 2024-08-06T14:08:22Z | 17 pages, 10 figures, Project page:
https://unity-research.github.io/IP-Adapter-Instruct.github.io/ | null | null | null | null | null | null | null | null | null |
2,408.03326 | LLaVA-OneVision: Easy Visual Task Transfer | ['Bo Li', 'Yuanhan Zhang', 'Dong Guo', 'Renrui Zhang', 'Feng Li', 'Hao Zhang', 'Kaichen Zhang', 'Peiyuan Zhang', 'Yanwei Li', 'Ziwei Liu', 'Chunyuan Li'] | ['cs.CV', 'cs.AI', 'cs.CL'] | We present LLaVA-OneVision, a family of open large multimodal models (LMMs)
developed by consolidating our insights into data, models, and visual
representations in the LLaVA-NeXT blog series. Our experimental results
demonstrate that LLaVA-OneVision is the first single model that can
simultaneously push the performanc... | 2024-08-06T17:59:44Z | Project Homepage:
https://llava-vl.github.io/blog/2024-08-05-llava-onevision/ | null | null | LLaVA-OneVision: Easy Visual Task Transfer | ['Bo Li', 'Yuanhan Zhang', 'Dong Guo', 'Renrui Zhang', 'Feng Li', 'Hao Zhang', 'Kaichen Zhang', 'Yanwei Li', 'Ziwei Liu', 'Chunyuan Li'] | 2,024 | Trans. Mach. Learn. Res. | 865 | 156 | ['Computer Science'] |
2,408.0335 | miniCTX: Neural Theorem Proving with (Long-)Contexts | ['Jiewen Hu', 'Thomas Zhu', 'Sean Welleck'] | ['cs.AI', 'cs.CL', 'cs.LG'] | Real-world formal theorem proving often depends on a wealth of context,
including definitions, lemmas, comments, file structure, and other information.
We introduce miniCTX, which tests a model's ability to prove formal
mathematical theorems that depend on new context that is not seen during
training. miniCTX contains ... | 2024-08-05T20:19:18Z | Project page: https://cmu-l3.github.io/minictx | null | null | null | null | null | null | null | null | null |
2,408.03361 | GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards
General Medical AI | ['Pengcheng Chen', 'Jin Ye', 'Guoan Wang', 'Yanjun Li', 'Zhongying Deng', 'Wei Li', 'Tianbin Li', 'Haodong Duan', 'Ziyan Huang', 'Yanzhou Su', 'Benyou Wang', 'Shaoting Zhang', 'Bin Fu', 'Jianfei Cai', 'Bohan Zhuang', 'Eric J Seibel', 'Junjun He', 'Yu Qiao'] | ['eess.IV', 'cs.CV'] | Large Vision-Language Models (LVLMs) are capable of handling diverse data
types such as imaging, text, and physiological signals, and can be applied in
various fields. In the medical field, LVLMs have a high potential to offer
substantial assistance for diagnosis and treatment. Before that, it is crucial
to develop ben... | 2024-08-06T17:59:21Z | GitHub: https://github.com/uni-medical/GMAI-MMBench Hugging face:
https://huggingface.co/datasets/OpenGVLab/GMAI-MMBench | null | null | GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI | ['Pengcheng Chen', 'Jin Ye', 'Guoan Wang', 'Yanjun Li', 'Zhongying Deng', 'Wei Li', 'Tian-Xin Li', 'Haodong Duan', 'Ziyan Huang', 'Yan-Cheng Su', 'Benyou Wang', 'Shaoting Zhang', 'Bin Fu', 'Jianfei Cai', 'Bohan Zhuang', 'Eric J. Seibel', 'Junjun He', 'Yu Qiao'] | 2,024 | Neural Information Processing Systems | 40 | 0 | ['Computer Science', 'Engineering'] |
2,408.03506 | 1.5-Pints Technical Report: Pretraining in Days, Not Months -- Your
Language Model Thrives on Quality Data | ['Calvin Tan', 'Jerome Wang'] | ['cs.CL'] | This paper presents a compute-efficient approach to pre-training a Language
Model-the "1.5-Pints"-in only 9 days, while outperforming state-of-the-art
models as an instruction-following assistant.Based on MT-Bench (a benchmark
that emulates human judgments), 1.5-Pints outperforms Apple's OpenELM and
Microsoft's Phi.Thi... | 2024-08-07T02:14:52Z | Technical Report for 1.5-Pints | null | null | null | null | null | null | null | null | null |
2,408.03524 | EgyBERT: A Large Language Model Pretrained on Egyptian Dialect Corpora | ['Faisal Qarah'] | ['cs.CL'] | This study presents EgyBERT, an Arabic language model pretrained on 10.4 GB
of Egyptian dialectal texts. We evaluated EgyBERT's performance by comparing it
with five other multidialect Arabic language models across 10 evaluation
datasets. EgyBERT achieved the highest average F1-score of 84.25% and an
accuracy of 87.33%... | 2024-08-07T03:23:55Z | null | null | null | null | null | null | null | null | null | null |
2,408.03541 | EXAONE 3.0 7.8B Instruction Tuned Language Model | ['LG AI Research', ':', 'Soyoung An', 'Kyunghoon Bae', 'Eunbi Choi', 'Stanley Jungkyu Choi', 'Yemuk Choi', 'Seokhee Hong', 'Yeonjung Hong', 'Junwon Hwang', 'Hyojin Jeon', 'Gerrard Jeongwon Jo', 'Hyunjik Jo', 'Jiyeon Jung', 'Yountae Jung', 'Euisoon Kim', 'Hyosang Kim', 'Joonkee Kim', 'Seonghwan Kim', 'Soyeon Kim', 'Sunk... | ['cs.CL', 'cs.AI'] | We introduce EXAONE 3.0 instruction-tuned language model, the first open
model in the family of Large Language Models (LLMs) developed by LG AI
Research. Among different model sizes, we publicly release the 7.8B
instruction-tuned model to promote open research and innovations. Through
extensive evaluations across a wid... | 2024-08-07T04:38:38Z | null | null | null | null | null | null | null | null | null | null |
2,408.03837 | WalledEval: A Comprehensive Safety Evaluation Toolkit for Large Language
Models | ['Prannaya Gupta', 'Le Qi Yau', 'Hao Han Low', 'I-Shiang Lee', 'Hugo Maximus Lim', 'Yu Xin Teoh', 'Jia Hng Koh', 'Dar Win Liew', 'Rishabh Bhardwaj', 'Rajat Bhardwaj', 'Soujanya Poria'] | ['cs.CL', 'cs.AI'] | WalledEval is a comprehensive AI safety testing toolkit designed to evaluate
large language models (LLMs). It accommodates a diverse range of models,
including both open-weight and API-based ones, and features over 35 safety
benchmarks covering areas such as multilingual safety, exaggerated safety, and
prompt injection... | 2024-08-07T15:22:44Z | Under review | null | null | null | null | null | null | null | null | null |
2,408.04015 | Image-to-LaTeX Converter for Mathematical Formulas and Text | ['Daniil Gurgurov', 'Aleksey Morshnev'] | ['cs.CL', 'cs.CV'] | In this project, we train a vision encoder-decoder model to generate LaTeX
code from images of mathematical formulas and text. Utilizing a diverse
collection of image-to-LaTeX data, we build two models: a base model with a
Swin Transformer encoder and a GPT-2 decoder, trained on machine-generated
images, and a fine-tun... | 2024-08-07T18:04:01Z | 4 pages | null | null | Image-to-LaTeX Converter for Mathematical Formulas and Text | ['Daniil Gurgurov', 'Aleksey Morshnev'] | 2,024 | arXiv.org | 2 | 30 | ['Computer Science'] |
2,408.04114 | Zero-shot Factual Consistency Evaluation Across Domains | ['Raunak Agarwal'] | ['cs.CL', 'cs.LG'] | This work addresses the challenge of factual consistency in text generation
systems. We unify the tasks of Natural Language Inference, Summarization
Evaluation, Factuality Verification and Factual Consistency Evaluation to train
models capable of evaluating the factual consistency of source-target pairs
across diverse ... | 2024-08-07T22:32:19Z | null | null | null | null | null | null | null | null | null | null |
2,408.04168 | Perceive, Reflect, and Plan: Designing LLM Agent for Goal-Directed City
Navigation without Instructions | ['Qingbin Zeng', 'Qinglong Yang', 'Shunan Dong', 'Heming Du', 'Liang Zheng', 'Fengli Xu', 'Yong Li'] | ['cs.AI'] | This paper considers a scenario in city navigation: an AI agent is provided
with language descriptions of the goal location with respect to some well-known
landmarks; By only observing the scene around, including recognizing landmarks
and road network connections, the agent has to make decisions to navigate to
the goal... | 2024-08-08T02:28:43Z | null | null | null | Perceive, Reflect, and Plan: Designing LLM Agent for Goal-Directed City Navigation without Instructions | ['Qingbin Zeng', 'Qinglong Yang', 'Shunan Dong', 'Heming Du', 'Liang Zheng', 'Fengli Xu', 'Yong Li'] | 2,024 | arXiv.org | 14 | 42 | ['Computer Science'] |
2,408.04203 | MMRole: A Comprehensive Framework for Developing and Evaluating
Multimodal Role-Playing Agents | ['Yanqi Dai', 'Huanran Hu', 'Lei Wang', 'Shengjie Jin', 'Xu Chen', 'Zhiwu Lu'] | ['cs.AI'] | Recently, Role-Playing Agents (RPAs) have garnered increasing attention for
their potential to deliver emotional value and facilitate sociological
research. However, existing studies are primarily confined to the textual
modality, unable to simulate humans' multimodal perceptual capabilities. To
bridge this gap, we int... | 2024-08-08T03:57:20Z | Accepted for the 13th International Conference on Learning
Representations (ICLR 2025) | null | null | MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents | ['Yanqi Dai', 'Huanran Hu', 'Lei Wang', 'Shengjie Jin', 'Xu Chen', 'Zhiwu Lu'] | 2,024 | arXiv.org | 9 | 40 | ['Computer Science'] |
2,408.04303 | Trans-Tokenization and Cross-lingual Vocabulary Transfers: Language
Adaptation of LLMs for Low-Resource NLP | ['François Remy', 'Pieter Delobelle', 'Hayastan Avetisyan', 'Alfiya Khabibullina', 'Miryam de Lhoneux', 'Thomas Demeester'] | ['cs.CL', 'cs.LG'] | The development of monolingual language models for low and mid-resource
languages continues to be hindered by the difficulty in sourcing high-quality
training data. In this study, we present a novel cross-lingual vocabulary
transfer strategy, trans-tokenization, designed to tackle this challenge and
enable more efficie... | 2024-08-08T08:37:28Z | Accepted at COLM 2024 | null | null | null | null | null | null | null | null | null |
2,408.04614 | Better Alignment with Instruction Back-and-Forth Translation | ['Thao Nguyen', 'Jeffrey Li', 'Sewoong Oh', 'Ludwig Schmidt', 'Jason Weston', 'Luke Zettlemoyer', 'Xian Li'] | ['cs.CL', 'cs.AI', 'cs.LG'] | We propose a new method, instruction back-and-forth translation, to construct
high-quality synthetic data grounded in world knowledge for aligning large
language models (LLMs). Given documents from a web corpus, we generate and
curate synthetic instructions using the backtranslation approach proposed by Li
et al.(2023a... | 2024-08-08T17:42:32Z | null | null | null | Better Alignment with Instruction Back-and-Forth Translation | ['Thao Nguyen', 'Jeffrey Li', 'Sewoong Oh', 'Ludwig Schmidt', 'Jason Weston', 'Luke S. Zettlemoyer', 'Xian Li'] | 2,024 | Conference on Empirical Methods in Natural Language Processing | 7 | 40 | ['Computer Science'] |
2,408.0466 | XMainframe: A Large Language Model for Mainframe Modernization | ['Anh T. V. Dau', 'Hieu Trung Dao', 'Anh Tuan Nguyen', 'Hieu Trung Tran', 'Phong X. Nguyen', 'Nghi D. Q. Bui'] | ['cs.CL', 'cs.AI'] | Mainframe operating systems, despite their inception in the 1940s, continue
to support critical sectors like finance and government. However, these systems
are often viewed as outdated, requiring extensive maintenance and
modernization. Addressing this challenge necessitates innovative tools that can
understand and int... | 2024-08-05T20:01:10Z | null | null | null | XMainframe: A Large Language Model for Mainframe Modernization | ['Anh T. V. Dau', 'Hieu Trung Dao', 'Anh Tuan Nguyen', 'Hieu Trung Tran', 'Phong X. Nguyen', 'Nghi D. Q. Bui'] | 2,024 | arXiv.org | 2 | 73 | ['Computer Science'] |
2,408.04693 | Understanding the Performance and Estimating the Cost of LLM Fine-Tuning | ['Yuchen Xia', 'Jiho Kim', 'Yuhan Chen', 'Haojie Ye', 'Souvik Kundu', 'Cong Hao', 'Nishil Talati'] | ['cs.CL', 'cs.AI', 'cs.LG'] | Due to the cost-prohibitive nature of training Large Language Models (LLMs),
fine-tuning has emerged as an attractive alternative for specializing LLMs for
specific tasks using limited compute resources in a cost-effective manner. In
this paper, we characterize sparse Mixture of Experts (MoE) based LLM
fine-tuning to u... | 2024-08-08T16:26:07Z | 10 pages, conference | null | null | Understanding the Performance and Estimating the Cost of LLM Fine-Tuning | ['Yuchen Xia', 'Jiho Kim', 'Yuhan Chen', 'Haojie Ye', 'Souvik Kundu', 'Cong Hao', 'Nishil Talati'] | 2,024 | IEEE International Symposium on Workload Characterization | 28 | 33 | ['Computer Science'] |
2,408.0484 | mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal
Large Language Models | ['Jiabo Ye', 'Haiyang Xu', 'Haowei Liu', 'Anwen Hu', 'Ming Yan', 'Qi Qian', 'Ji Zhang', 'Fei Huang', 'Jingren Zhou'] | ['cs.CV', 'cs.AI', 'cs.CL', 'cs.LG'] | Multi-modal Large Language Models (MLLMs) have demonstrated remarkable
capabilities in executing instructions for a variety of single-image tasks.
Despite this progress, significant challenges remain in modeling long image
sequences. In this work, we introduce the versatile multi-modal large language
model, mPLUG-Owl3,... | 2024-08-09T03:25:42Z | null | null | null | mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models | ['Jiabo Ye', 'Haiyang Xu', 'Haowei Liu', 'Anwen Hu', 'Mingshi Yan', 'Qi Qian', 'Ji Zhang', 'Fei Huang', 'Jingren Zhou'] | 2,024 | International Conference on Learning Representations | 139 | 76 | ['Computer Science'] |
2,408.0491 | Unleashing Artificial Cognition: Integrating Multiple AI Systems | ['Muntasir Adnan', 'Buddhi Gamage', 'Zhiwei Xu', 'Damith Herath', 'Carlos C. N. Kuhn'] | ['cs.AI'] | In this study, we present an innovative fusion of language models and query
analysis techniques to unlock cognition in artificial intelligence. The
introduced open-source AI system seamlessly integrates a Chess engine with a
language model, enabling it to predict moves and provide strategic
explanations. Leveraging a v... | 2024-08-09T07:36:30Z | This paper is accepted to Australasian Conference on Information
Systems 2024 | null | null | null | null | null | null | null | null | null |
2,408.05075 | DeepInteraction++: Multi-Modality Interaction for Autonomous Driving | ['Zeyu Yang', 'Nan Song', 'Wei Li', 'Xiatian Zhu', 'Li Zhang', 'Philip H. S. Torr'] | ['cs.CV'] | Existing top-performance autonomous driving systems typically rely on the
multi-modal fusion strategy for reliable scene understanding. This design is
however fundamentally restricted due to overlooking the modality-specific
strengths and finally hampering the model performance. To address this
limitation, in this work... | 2024-08-09T14:04:21Z | Journal extension of NeurIPS 2022. arXiv admin note: text overlap
with arXiv:2208.11112 | null | null | DeepInteraction++: Multi-Modality Interaction for Autonomous Driving | ['Zeyu Yang', 'Nan Song', 'Wei Li', 'Xiatian Zhu', 'Li Zhang', 'Philip H. S. Torr'] | 2,024 | IEEE Transactions on Pattern Analysis and Machine Intelligence | 4 | 75 | ['Computer Science', 'Medicine'] |
2,408.05101 | MooER: LLM-based Speech Recognition and Translation Models from Moore
Threads | ['Junhao Xu', 'Zhenlin Liang', 'Yi Liu', 'Yichao Hu', 'Jian Li', 'Yajun Zheng', 'Meng Cai', 'Hua Wang'] | ['cs.CL', 'cs.AI'] | In this paper, we present MooER, a LLM-based large-scale automatic speech
recognition (ASR) / automatic speech translation (AST) model of Moore Threads.
A 5000h pseudo labeled dataset containing open source and self collected speech
data is used for training. We achieve performance comparable to other open
source model... | 2024-08-09T14:43:56Z | null | null | null | null | null | null | null | null | null | null |
2,408.05147 | Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2 | ['Tom Lieberum', 'Senthooran Rajamanoharan', 'Arthur Conmy', 'Lewis Smith', 'Nicolas Sonnerat', 'Vikrant Varma', 'János Kramár', 'Anca Dragan', 'Rohin Shah', 'Neel Nanda'] | ['cs.LG', 'cs.AI', 'cs.CL'] | Sparse autoencoders (SAEs) are an unsupervised method for learning a sparse
decomposition of a neural network's latent representations into seemingly
interpretable features. Despite recent excitement about their potential,
research applications outside of industry are limited by the high cost of
training a comprehensiv... | 2024-08-09T16:06:42Z | 12 main text pages, and 14 pages of acknowledgements, references and
appendices | null | null | null | null | null | null | null | null | null |
2,408.05211 | VITA: Towards Open-Source Interactive Omni Multimodal LLM | ['Chaoyou Fu', 'Haojia Lin', 'Zuwei Long', 'Yunhang Shen', 'Yuhang Dai', 'Meng Zhao', 'Yi-Fan Zhang', 'Shaoqi Dong', 'Yangze Li', 'Xiong Wang', 'Haoyu Cao', 'Di Yin', 'Long Ma', 'Xiawu Zheng', 'Rongrong Ji', 'Yunsheng Wu', 'Ran He', 'Caifeng Shan', 'Xing Sun'] | ['cs.CV', 'cs.AI', 'cs.CL'] | The remarkable multimodal capabilities and interactive experience of GPT-4o
underscore their necessity in practical applications, yet open-source models
rarely excel in both areas. In this paper, we introduce VITA, the first-ever
open-source Multimodal Large Language Model (MLLM) adept at simultaneous
processing and an... | 2024-08-09T17:59:49Z | Project Page: https://vita-home.github.io | null | null | null | null | null | null | null | null | null |
2,408.05446 | Ensemble everything everywhere: Multi-scale aggregation for adversarial
robustness | ['Stanislav Fort', 'Balaji Lakshminarayanan'] | ['cs.CV', 'cs.LG'] | Adversarial examples pose a significant challenge to the robustness,
reliability and alignment of deep neural networks. We propose a novel,
easy-to-use approach to achieving high-quality representations that lead to
adversarial robustness through the use of multi-resolution input
representations and dynamic self-ensemb... | 2024-08-08T14:21:16Z | 34 pages, 25 figures, appendix | null | null | null | null | null | null | null | null | null |
2,408.05517 | SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning | ['Yuze Zhao', 'Jintao Huang', 'Jinghan Hu', 'Xingjun Wang', 'Yunlin Mao', 'Daoze Zhang', 'Hong Zhang', 'Zeyinzi Jiang', 'Zhikai Wu', 'Baole Ai', 'Ang Wang', 'Wenmeng Zhou', 'Yingda Chen'] | ['cs.CL'] | Recent development in Large Language Models (LLMs) and Multi-modal Large
Language Models (MLLMs) have leverage Attention-based Transformer architectures
and achieved superior performance and generalization capabilities. They have
since covered extensive areas of traditional learning tasks. For instance,
text-based task... | 2024-08-10T11:00:13Z | null | null | null | SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning | ['Yuze Zhao', 'Jintao Huang', 'Jinghan Hu', 'Xingjun Wang', 'Yunlin Mao', 'Daoze Zhang', 'Zeyinzi Jiang', 'Zhikai Wu', 'Baole Ai', 'Ang Wang', 'Wenmeng Zhou', 'Yingda Chen'] | 2,024 | AAAI Conference on Artificial Intelligence | 47 | 55 | ['Computer Science'] |
2,408.05618 | UrFound: Towards Universal Retinal Foundation Models via
Knowledge-Guided Masked Modeling | ['Kai Yu', 'Yang Zhou', 'Yang Bai', 'Zhi Da Soh', 'Xinxing Xu', 'Rick Siow Mong Goh', 'Ching-Yu Cheng', 'Yong Liu'] | ['cs.CV', 'cs.AI'] | Retinal foundation models aim to learn generalizable representations from
diverse retinal images, facilitating label-efficient model adaptation across
various ophthalmic tasks. Despite their success, current retinal foundation
models are generally restricted to a single imaging modality, such as Color
Fundus Photograph... | 2024-08-10T19:31:29Z | null | null | null | UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling | ['Kai Yu', 'Yang Zhou', 'Yang Bai', 'Z. Soh', 'Xinxing Xu', 'R. Goh', 'Ching-Yu Cheng', 'Yong Liu'] | 2,024 | International Conference on Medical Image Computing and Computer-Assisted Intervention | 4 | 53 | ['Computer Science'] |
2,408.05706 | Decoder Pre-Training with only Text for Scene Text Recognition | ['Shuai Zhao', 'Yongkun Du', 'Zhineng Chen', 'Yu-Gang Jiang'] | ['cs.CV'] | Scene text recognition (STR) pre-training methods have achieved remarkable
progress, primarily relying on synthetic datasets. However, the domain gap
between synthetic and real images poses a challenge in acquiring feature
representations that align well with images on real scenes, thereby limiting
the performance of t... | 2024-08-11T06:36:42Z | Accepted by ACM MM 2024 | null | null | Decoder Pre-Training with only Text for Scene Text Recognition | ['Shuai Zhao', 'Yongkun Du', 'Zhineng Chen', 'Yu-Gang Jiang'] | 2,024 | ACM Multimedia | 0 | 65 | ['Computer Science'] |
2,408.0607 | ControlNeXt: Powerful and Efficient Control for Image and Video
Generation | ['Bohao Peng', 'Jian Wang', 'Yuechen Zhang', 'Wenbo Li', 'Ming-Chang Yang', 'Jiaya Jia'] | ['cs.CV'] | Diffusion models have demonstrated remarkable and robust abilities in both
image and video generation. To achieve greater control over generated results,
researchers introduce additional architectures, such as ControlNet, Adapters
and ReferenceNet, to integrate conditioning controls. However, current
controllable gener... | 2024-08-12T11:41:18Z | controllable generation | null | null | null | null | null | null | null | null | null |
2,408.06072 | CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer | ['Zhuoyi Yang', 'Jiayan Teng', 'Wendi Zheng', 'Ming Ding', 'Shiyu Huang', 'Jiazheng Xu', 'Yuanming Yang', 'Wenyi Hong', 'Xiaohan Zhang', 'Guanyu Feng', 'Da Yin', 'Yuxuan Zhang', 'Weihan Wang', 'Yean Cheng', 'Bin Xu', 'Xiaotao Gu', 'Yuxiao Dong', 'Jie Tang'] | ['cs.CV'] | We present CogVideoX, a large-scale text-to-video generation model based on
diffusion transformer, which can generate 10-second continuous videos aligned
with text prompt, with a frame rate of 16 fps and resolution of 768 * 1360
pixels. Previous video generation models often had limited movement and short
durations, an... | 2024-08-12T11:47:11Z | Accepted by ICLR2025 | null | null | CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer | ['Zhuoyi Yang', 'Jiayan Teng', 'Wendi Zheng', 'Ming Ding', 'Shiyu Huang', 'Jiazheng Xu', 'Yuanming Yang', 'Wenyi Hong', 'Xiaohan Zhang', 'Guanyu Feng', 'Da Yin', 'Xiaotao Gu', 'Yuxuan Zhang', 'Weihan Wang', 'Yean Cheng', 'Ting Liu', 'Bin Xu', 'Yuxiao Dong', 'Jie Tang'] | 2,024 | International Conference on Learning Representations | 565 | 50 | ['Computer Science'] |
2,408.06142 | Med42-v2: A Suite of Clinical LLMs | ['Clément Christophe', 'Praveen K Kanithi', 'Tathagata Raha', 'Shadab Khan', 'Marco AF Pimentel'] | ['cs.CL', 'cs.AI'] | Med42-v2 introduces a suite of clinical large language models (LLMs) designed
to address the limitations of generic models in healthcare settings. These
models are built on Llama3 architecture and fine-tuned using specialized
clinical data. They underwent multi-stage preference alignment to effectively
respond to natur... | 2024-08-12T13:37:31Z | null | null | null | Med42-v2: A Suite of Clinical LLMs | ["Cl'ement Christophe", 'P. Kanithi', 'Tathagata Raha', 'Shadab Khan', 'Marco A. F. Pimentel'] | 2,024 | arXiv.org | 27 | 41 | ['Computer Science'] |
2,408.06273 | FuxiTranyu: A Multilingual Large Language Model Trained with Balanced
Data | ['Haoran Sun', 'Renren Jin', 'Shaoyang Xu', 'Leiyu Pan', 'Supryadi', 'Menglong Cui', 'Jiangcun Du', 'Yikun Lei', 'Lei Yang', 'Ling Shi', 'Juesi Xiao', 'Shaolin Zhu', 'Deyi Xiong'] | ['cs.CL'] | Large language models (LLMs) have demonstrated prowess in a wide range of
tasks. However, many LLMs exhibit significant performance discrepancies between
high- and low-resource languages. To mitigate this challenge, we present
FuxiTranyu, an open-source multilingual LLM, which is designed to satisfy the
need of the res... | 2024-08-12T16:34:56Z | Accepted to EMNLP 2024 Industry Track | null | null | null | null | null | null | null | null | null |
2,408.06292 | The AI Scientist: Towards Fully Automated Open-Ended Scientific
Discovery | ['Chris Lu', 'Cong Lu', 'Robert Tjarko Lange', 'Jakob Foerster', 'Jeff Clune', 'David Ha'] | ['cs.AI', 'cs.CL', 'cs.LG'] | One of the grand challenges of artificial general intelligence is developing
agents capable of conducting scientific research and discovering new knowledge.
While frontier models have already been used as aides to human scientists, e.g.
for brainstorming ideas, writing code, or prediction tasks, they still conduct
only... | 2024-08-12T16:58:11Z | null | null | null | The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery | ['Chris Lu', 'Cong Lu', 'R. T. Lange', 'J. Foerster', 'Jeff Clune', 'David Ha'] | 2,024 | arXiv.org | 236 | 0 | ['Computer Science'] |
2,408.065 | Music2Latent: Consistency Autoencoders for Latent Audio Compression | ['Marco Pasini', 'Stefan Lattner', 'George Fazekas'] | ['cs.SD', 'cs.LG', 'eess.AS'] | Efficient audio representations in a compressed continuous latent space are
critical for generative audio modeling and Music Information Retrieval (MIR)
tasks. However, some existing audio autoencoders have limitations, such as
multi-stage training procedures, slow iterative sampling, or low reconstruction
quality. We ... | 2024-08-12T21:25:19Z | Accepted to ISMIR 2024 | null | null | null | null | null | null | null | null | null |
2,408.06567 | AquilaMoE: Efficient Training for MoE Models with Scale-Up and Scale-Out
Strategies | ['Bo-Wen Zhang', 'Liangdong Wang', 'Ye Yuan', 'Jijie Li', 'Shuhao Gu', 'Mengdi Zhao', 'Xinya Wu', 'Guang Liu', 'Chengwei Wu', 'Hanyu Zhao', 'Li Du', 'Yiming Ju', 'Quanyue Ma', 'Yulong Ao', 'Yingli Zhao', 'Songhe Zhu', 'Zhou Cao', 'Dong Liang', 'Yonghua Lin', 'Ming Zhang', 'Shunfei Wang', 'Yanxin Zhou', 'Min Ye', 'Xueka... | ['cs.CL', 'cs.AI'] | In recent years, with the rapid application of large language models across
various fields, the scale of these models has gradually increased, and the
resources required for their pre-training have grown exponentially. Training an
LLM from scratch will cost a lot of computation resources while scaling up from
a smaller... | 2024-08-13T02:07:00Z | null | null | null | AquilaMoE: Efficient Training for MoE Models with Scale-Up and Scale-Out Strategies | ['Bo-wen Zhang', 'Liangdong Wang', 'Ye Yuan', 'Jijie Li', 'Shuhao Gu', 'Mengdi Zhao', 'Xinya Wu', 'Guang Liu', 'Chengwei Wu', 'Hanyu Zhao', 'Li Du', 'Yiming Ju', 'Quanyue Ma', 'Yulong Ao', 'Ying Zhao', 'Songhe Zhu', 'Zhou Cao', 'Dong Liang', 'Yonghua Lin', 'Ming Zhang', 'Shunfei Wang', 'Yanxin Zhou', 'Min Ye', 'Xuekai ... | 2,024 | arXiv.org | 0 | 0 | ['Computer Science'] |
2,408.06646 | Hybrid SD: Edge-Cloud Collaborative Inference for Stable Diffusion
Models | ['Chenqian Yan', 'Songwei Liu', 'Hongjian Liu', 'Xurui Peng', 'Xiaojian Wang', 'Fangmin Chen', 'Lean Fu', 'Xing Mei'] | ['cs.CV'] | Stable Diffusion Models (SDMs) have shown remarkable proficiency in image
synthesis. However, their broad application is impeded by their large model
sizes and intensive computational requirements, which typically require
expensive cloud servers for deployment. On the flip side, while there are many
compact models tail... | 2024-08-13T05:30:41Z | null | null | null | null | null | null | null | null | null | null |
2,408.06663 | Amuro and Char: Analyzing the Relationship between Pre-Training and
Fine-Tuning of Large Language Models | ['Kaiser Sun', 'Mark Dredze'] | ['cs.CL', 'cs.AI'] | The development of large language models leads to the formation of a
pre-train-then-align paradigm, in which the model is typically pre-trained on a
large text corpus and undergoes a tuning stage to align the model with human
preference or downstream tasks. In this work, we investigate the relationship
between pre-trai... | 2024-08-13T06:28:43Z | Rep4NLP Camera Ready | null | null | null | null | null | null | null | null | null |
2,408.0693 | Diagnosis extraction from unstructured Dutch echocardiogram reports
using span- and document-level characteristic classification | ['Bauke Arends', 'Melle Vessies', 'Dirk van Osch', 'Arco Teske', 'Pim van der Harst', 'René van Es', 'Bram van Es'] | ['cs.CL', 'cs.AI', '68T50, 68P20', 'I.2.7; J.3; H.3.3'] | Clinical machine learning research and AI driven clinical decision support
models rely on clinically accurate labels. Manually extracting these labels
with the help of clinical specialists is often time-consuming and expensive.
This study tests the feasibility of automatic span- and document-level
diagnosis extraction ... | 2024-08-13T14:33:32Z | 28 pages, 5 figures | null | 10.1186/s12911-025-02897-w | Diagnosis extraction from unstructured Dutch echocardiogram reports using span- and document-level characteristic classification | ['Bauke K. O. Arends', 'Melle B Vessies', 'D. Osch', 'Arco Teske', 'P. Harst', 'R. V. Es', 'Bram van Es'] | 2,024 | BMC Medical Informatics Decis. Mak. | 0 | 56 | ['Medicine', 'Computer Science'] |
2,408.06931 | The advantages of context specific language models: the case of the
Erasmian Language Model | ['João Gonçalves', 'Nick Jelicic', 'Michele Murgia', 'Evert Stamhuis'] | ['cs.CL', 'cs.AI'] | The current trend to improve language model performance seems to be based on
scaling up with the number of parameters (e.g. the state of the art GPT4 model
has approximately 1.7 trillion parameters) or the amount of training data fed
into the model. However this comes at significant costs in terms of
computational reso... | 2024-08-13T14:34:59Z | 12 pages, 3 figures, 1 table | null | null | null | null | null | null | null | null | null |
2,408.07055 | LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs | ['Yushi Bai', 'Jiajie Zhang', 'Xin Lv', 'Linzhi Zheng', 'Siqi Zhu', 'Lei Hou', 'Yuxiao Dong', 'Jie Tang', 'Juanzi Li'] | ['cs.CL', 'cs.LG'] | Current long context large language models (LLMs) can process inputs up to
100,000 tokens, yet struggle to generate outputs exceeding even a modest length
of 2,000 words. Through controlled experiments, we find that the model's
effective generation length is inherently bounded by the sample it has seen
during supervise... | 2024-08-13T17:46:12Z | null | null | null | null | null | null | null | null | null | null |
2,408.07237 | A semantic embedding space based on large language models for modelling
human beliefs | ['Byunghwee Lee', 'Rachith Aiyappa', 'Yong-Yeol Ahn', 'Haewoon Kwak', 'Jisun An'] | ['cs.CL', 'cs.CY', 'physics.soc-ph'] | Beliefs form the foundation of human cognition and decision-making, guiding
our actions and social connections. A model encapsulating beliefs and their
interrelationships is crucial for understanding their influence on our actions.
However, research on belief interplay has often been limited to beliefs related
to speci... | 2024-08-13T23:58:45Z | 5 figures, 2 tables (SI: 25 figures, 7 tables). Published in Nature
Human Behaviour (2025) | null | 10.1038/s41562-025-02228-z | A semantic embedding space based on large language models for modelling human beliefs. | ['Byunghwee Lee', 'Rachith Aiyappa', 'Yong-Yeol Ahn', 'Haewoon Kwak', 'Jisun An'] | 2,024 | Nature Human Behaviour | 3 | 22 | ['Computer Science', 'Physics', 'Medicine'] |
2,408.07246 | ChemVLM: Exploring the Power of Multimodal Large Language Models in
Chemistry Area | ['Junxian Li', 'Di Zhang', 'Xunzhi Wang', 'Zeying Hao', 'Jingdi Lei', 'Qian Tan', 'Cai Zhou', 'Wei Liu', 'Yaotian Yang', 'Xinrui Xiong', 'Weiyun Wang', 'Zhe Chen', 'Wenhai Wang', 'Wei Li', 'Shufei Zhang', 'Mao Su', 'Wanli Ouyang', 'Yuqiang Li', 'Dongzhan Zhou'] | ['cs.LG', 'cs.CV'] | Large Language Models (LLMs) have achieved remarkable success and have been
applied across various scientific fields, including chemistry. However, many
chemical tasks require the processing of visual information, which cannot be
successfully handled by existing chemical LLMs. This brings a growing need for
models capa... | 2024-08-14T01:16:40Z | 11 pages, updated version | null | null | null | null | null | null | null | null | null |
2,408.0741 | Aquila2 Technical Report | ['Bo-Wen Zhang', 'Liangdong Wang', 'Jijie Li', 'Shuhao Gu', 'Xinya Wu', 'Zhengduo Zhang', 'Boyan Gao', 'Yulong Ao', 'Guang Liu'] | ['cs.CL'] | This paper introduces the Aquila2 series, which comprises a wide range of
bilingual models with parameter sizes of 7, 34, and 70 billion. These models
are trained based on an innovative framework named HeuriMentor (HM), which
offers real-time insights into model convergence and enhances the training
process and data ma... | 2024-08-14T09:34:19Z | null | null | null | null | null | null | null | null | null | null |
2,408.07414 | WavLM model ensemble for audio deepfake detection | ['David Combei', 'Adriana Stan', 'Dan Oneata', 'Horia Cucu'] | ['eess.AS'] | Audio deepfake detection has become a pivotal task over the last couple of
years, as many recent speech synthesis and voice cloning systems generate
highly realistic speech samples, thus enabling their use in malicious
activities. In this paper we address the issue of audio deepfake detection as
it was set in the ASVsp... | 2024-08-14T09:43:35Z | Accepted at ASVspoof Workshop 2024 | null | null | null | null | null | null | null | null | null |
2,408.07832 | LADDER: Language-Driven Slice Discovery and Error Rectification in
Vision Classifiers | ['Shantanu Ghosh', 'Rayan Syed', 'Chenyu Wang', 'Vaibhav Choudhary', 'Binxu Li', 'Clare B. Poynton', 'Shyam Visweswaran', 'Kayhan Batmanghelich'] | ['cs.CL', 'cs.CV'] | Error slice discovery is crucial to diagnose and mitigate model errors.
Current clustering or discrete attribute-based slice discovery methods face key
limitations: 1) clustering results in incoherent slices, while assigning
discrete attributes to slices leads to incomplete coverage of error patterns
due to missing or ... | 2024-07-31T14:49:35Z | ACL 2025 (Findings). Code: https://github.com/batmanlab/Ladder | null | null | null | null | null | null | null | null | null |
2,408.0799 | FuseChat: Knowledge Fusion of Chat Models | ['Fanqi Wan', 'Longguang Zhong', 'Ziyi Yang', 'Ruijun Chen', 'Xiaojun Quan'] | ['cs.CL'] | While training large language models (LLMs) from scratch can indeed lead to
models with distinct capabilities and strengths, it incurs substantial costs
and may lead to redundancy in competencies. Knowledge fusion aims to integrate
existing LLMs of diverse architectures and capabilities into a more potent LLM
through l... | 2024-08-15T07:37:24Z | Work in progress | null | null | null | null | null | null | null | null | null |
2,408.08 | MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and
3D Editing | ['Chenjie Cao', 'Chaohui Yu', 'Fan Wang', 'Xiangyang Xue', 'Yanwei Fu'] | ['cs.CV'] | Novel View Synthesis (NVS) and 3D generation have recently achieved prominent
improvements. However, these works mainly focus on confined categories or
synthetic 3D assets, which are discouraged from generalizing to challenging
in-the-wild scenes and fail to be employed with 2D synthesis directly.
Moreover, these metho... | 2024-08-15T07:57:28Z | Project page: https://ewrfcas.github.io/MVInpainter/. Accepted at
NeurIPS2024 | null | null | null | null | null | null | null | null | null |
2,408.08025 | Disagreement as a way to study misinformation and its effects | ['Damian Hodel', 'Jevin West'] | ['cs.SI'] | Misinformation -- false or misleading information -- is considered a
significant societal concern due to its associated "misinformation effects,"
such as political polarization, erosion of trust in institutions, problematic
behavior, and public health challenges. However, the prevailing concept is
misaligned with what ... | 2024-08-15T08:48:54Z | Published in Harvard Kennedy School (HKS) Misinformation Review on
March 20 2025 | null | 10.37016/mr-2020-174 | Disagreement as a way to study misinformation and its effects | ['Damian Hodel', 'Jevin West'] | 2,024 | Harvard Kennedy School Misinformation Review | 0 | 98 | ['Computer Science'] |
2,408.0807 | MambaMIM: Pre-training Mamba with State Space Token Interpolation and
its Application to Medical Image Segmentation | ['Fenghe Tang', 'Bingkun Nian', 'Yingtai Li', 'Zihang Jiang', 'Jie Yang', 'Wei Liu', 'S. Kevin Zhou'] | ['cs.CV'] | Recently, the state space model Mamba has demonstrated efficient
long-sequence modeling capabilities, particularly for addressing long-sequence
visual tasks in 3D medical imaging. However, existing generative
self-supervised learning methods have not yet fully unleashed Mamba's potential
for handling long-range depende... | 2024-08-15T10:35:26Z | Accepted by Medical Image Analysis. Code:
https://github.com/FengheTan9/MambaMIM | Medical Image Analysis, Volume 103, 2025, Article 103606 | 10.1016/j.media.2025.103606 | null | null | null | null | null | null | null |
2,408.08072 | I-SHEEP: Self-Alignment of LLM from Scratch through an Iterative
Self-Enhancement Paradigm | ['Yiming Liang', 'Ge Zhang', 'Xingwei Qu', 'Tianyu Zheng', 'Jiawei Guo', 'Xinrun Du', 'Zhenzhu Yang', 'Jiaheng Liu', 'Chenghua Lin', 'Lei Ma', 'Wenhao Huang', 'Jiajun Zhang'] | ['cs.CL'] | Large Language Models (LLMs) have achieved significant advancements, however,
the common learning paradigm treats LLMs as passive information repositories,
neglecting their potential for active learning and alignment. Some approaches
train LLMs using their own generated synthetic data, exploring the possibility
of acti... | 2024-08-15T10:44:38Z | null | null | null | null | null | null | null | null | null | null |
2,408.08152 | DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for
Reinforcement Learning and Monte-Carlo Tree Search | ['Huajian Xin', 'Z. Z. Ren', 'Junxiao Song', 'Zhihong Shao', 'Wanjia Zhao', 'Haocheng Wang', 'Bo Liu', 'Liyue Zhang', 'Xuan Lu', 'Qiushi Du', 'Wenjun Gao', 'Qihao Zhu', 'Dejian Yang', 'Zhibin Gou', 'Z. F. Wu', 'Fuli Luo', 'Chong Ruan'] | ['cs.CL', 'cs.AI', 'cs.LG', 'cs.LO'] | We introduce DeepSeek-Prover-V1.5, an open-source language model designed for
theorem proving in Lean 4, which enhances DeepSeek-Prover-V1 by optimizing both
training and inference processes. Pre-trained on DeepSeekMath-Base with
specialization in formal mathematical languages, the model undergoes supervised
fine-tunin... | 2024-08-15T13:40:03Z | null | null | null | null | null | null | null | null | null | null |
2,408.08188 | Nl2Hltl2Plan: Scaling Up Natural Language Understanding for Multi-Robots
Through Hierarchical Temporal Logic Task Representation | ['Shaojun Xu', 'Xusheng Luo', 'Yutong Huang', 'Letian Leng', 'Ruixuan Liu', 'Changliu Liu'] | ['cs.RO', 'cs.AI', 'cs.LO'] | To enable non-experts to specify long-horizon, multi-robot collaborative
tasks, language models are increasingly used to translate natural language
commands into formal specifications. However, because translation can occur in
multiple ways, such translations may lack accuracy or lead to inefficient
multi-robot plannin... | 2024-08-15T14:46:13Z | null | null | null | Nl2Hltl2Plan: Scaling Up Natural Language Understanding for Multi-Robots Through Hierarchical Temporal Logic Task Representation | ['Shaojun Xu', 'Xusheng Luo', 'Yutong Huang', 'Letian Leng', 'Ruixuan Liu', 'Changliu Liu'] | 2,024 | null | 0 | 55 | ['Computer Science'] |
2,408.08189 | FancyVideo: Towards Dynamic and Consistent Video Generation via
Cross-frame Textual Guidance | ['Jiasong Feng', 'Ao Ma', 'Jing Wang', 'Bo Cheng', 'Xiaodan Liang', 'Dawei Leng', 'Yuhui Yin'] | ['cs.CV'] | Synthesizing motion-rich and temporally consistent videos remains a challenge
in artificial intelligence, especially when dealing with extended durations.
Existing text-to-video (T2V) models commonly employ spatial cross-attention for
text control, equivalently guiding different frame generations without
frame-specific... | 2024-08-15T14:47:44Z | null | null | null | FancyVideo: Towards Dynamic and Consistent Video Generation via Cross-frame Textual Guidance | ['Jiasong Feng', 'Ao Ma', 'Jing Wang', 'Bo Cheng', 'Xiaodan Liang', 'Dawei Leng', 'Yuhui Yin'] | 2,024 | arXiv.org | 6 | 132 | ['Computer Science'] |
2,408.08258 | Snuffy: Efficient Whole Slide Image Classifier | ['Hossein Jafarinia', 'Alireza Alipanah', 'Danial Hamdi', 'Saeed Razavi', 'Nahal Mirzaie', 'Mohammad Hossein Rohban'] | ['cs.CV', 'cs.AI', 'cs.LG', 'cs.NE', 'eess.IV'] | Whole Slide Image (WSI) classification with multiple instance learning (MIL)
in digital pathology faces significant computational challenges. Current
methods mostly rely on extensive self-supervised learning (SSL) for
satisfactory performance, requiring long training periods and considerable
computational resources. At... | 2024-08-15T16:59:15Z | Accepted for ECCV 2024 | null | null | Snuffy: Efficient Whole Slide Image Classifier | ['Hossein Jafarinia', 'Alireza Alipanah', 'Danial Hamdi', 'Saeed Razavi', 'Nahal Mirzaie', 'M. H. Rohban'] | 2,024 | European Conference on Computer Vision | 2 | 54 | ['Computer Science', 'Engineering'] |
2,408.08435 | Automated Design of Agentic Systems | ['Shengran Hu', 'Cong Lu', 'Jeff Clune'] | ['cs.AI'] | Researchers are investing substantial effort in developing powerful
general-purpose agents, wherein Foundation Models are used as modules within
agentic systems (e.g. Chain-of-Thought, Self-Reflection, Toolformer). However,
the history of machine learning teaches us that hand-designed solutions are
eventually replaced ... | 2024-08-15T21:59:23Z | Website: https://shengranhu.com/ADAS | null | null | null | null | null | null | null | null | null |
2,408.08459 | JPEG-LM: LLMs as Image Generators with Canonical Codec Representations | ['Xiaochuang Han', 'Marjan Ghazvininejad', 'Pang Wei Koh', 'Yulia Tsvetkov'] | ['cs.CL', 'cs.CV', 'cs.LG'] | Recent work in image and video generation has been adopting the
autoregressive LLM architecture due to its generality and potentially easy
integration into multi-modal systems. The crux of applying autoregressive
training in language generation to visual generation is discretization --
representing continuous data like... | 2024-08-15T23:57:02Z | null | null | null | null | null | null | null | null | null | null |
2,408.0864 | Math-PUMA: Progressive Upward Multimodal Alignment to Enhance
Mathematical Reasoning | ['Wenwen Zhuang', 'Xin Huang', 'Xiantao Zhang', 'Jin Zeng'] | ['cs.CL'] | Multimodal Large Language Models (MLLMs) excel in solving text-based
mathematical problems, but they struggle with mathematical diagrams since they
are primarily trained on natural scene images. For humans, visual aids
generally enhance problem-solving, but MLLMs perform worse as information
shifts from textual to visu... | 2024-08-16T10:11:05Z | null | null | null | null | null | null | null | null | null | null |
2,408.08821 | EasyRec: Simple yet Effective Language Models for Recommendation | ['Xubin Ren', 'Chao Huang'] | ['cs.IR', 'cs.AI'] | Deep neural networks have become a powerful technique for learning
representations from user-item interaction data in collaborative filtering (CF)
for recommender systems. However, many existing methods heavily rely on unique
user and item IDs, which limits their ability to perform well in practical
zero-shot learning ... | 2024-08-16T16:09:59Z | null | null | null | EasyRec: Simple yet Effective Language Models for Recommendation | ['Xubin Ren', 'Chao Huang'] | 2,024 | arXiv.org | 5 | 43 | ['Computer Science'] |
2,408.08872 | xGen-MM (BLIP-3): A Family of Open Large Multimodal Models | ['Le Xue', 'Manli Shu', 'Anas Awadalla', 'Jun Wang', 'An Yan', 'Senthil Purushwalkam', 'Honglu Zhou', 'Viraj Prabhu', 'Yutong Dai', 'Michael S Ryoo', 'Shrikant Kendre', 'Jieyu Zhang', 'Shaoyen Tseng', 'Gustavo A Lujan-Moreno', 'Matthew L Olson', 'Musashi Hinck', 'David Cobbley', 'Vasudev Lal', 'Can Qin', 'Shu Zhang', '... | ['cs.CV', 'cs.AI', 'cs.CL'] | This paper introduces BLIP-3, an open framework for developing Large
Multimodal Models (LMMs). The framework comprises meticulously curated
datasets, a training recipe, model architectures, and a resulting suite of
LMMs. We release 4B and 14B models, including both the pre-trained base model
and the instruction fine-tu... | 2024-08-16T17:57:01Z | null | null | null | xGen-MM (BLIP-3): A Family of Open Large Multimodal Models | ['Le Xue', 'Manli Shu', 'Anas Awadalla', 'Jun Wang', 'An Yan', 'Senthil Purushwalkam', 'Honglu Zhou', 'Viraj Prabhu', 'Yutong Dai', 'Michael S Ryoo', 'Shrikant B. Kendre', 'Jieyu Zhang', 'Can Qin', 'Shu Zhen Zhang', 'Chia-Chih Chen', 'Ning Yu', 'Juntao Tan', 'T. Awalgaonkar', 'Shelby Heinecke', 'Huan Wang', 'Yejin Choi... | 2,024 | arXiv.org | 96 | 92 | ['Computer Science'] |
2,408.09085 | Segment Anything with Multiple Modalities | ['Aoran Xiao', 'Weihao Xuan', 'Heli Qi', 'Yun Xing', 'Naoto Yokoya', 'Shijian Lu'] | ['cs.CV'] | Robust and accurate segmentation of scenes has become one core functionality
in various visual recognition and navigation tasks. This has inspired the
recent development of Segment Anything Model (SAM), a foundation model for
general mask segmentation. However, SAM is largely tailored for single-modal
RGB images, limit... | 2024-08-17T03:45:40Z | Project page: https://xiaoaoran.github.io/projects/MM-SAM | null | null | Segment Anything with Multiple Modalities | ['Aoran Xiao', 'Weihao Xuan', 'Heli Qi', 'Yun Xing', 'Naoto Yokoya', 'Shijian Lu'] | 2,024 | arXiv.org | 7 | 52 | ['Computer Science'] |
2,408.09121 | Selective Prompt Anchoring for Code Generation | ['Yuan Tian', 'Tianyi Zhang'] | ['cs.LG', 'cs.AI', 'cs.CL', 'cs.SE'] | Recent advances in large language models (LLMs) have transformed software
development by automatically generating code from natural language. Yet
challenges remain in generating fully correct code that aligns with user
intent. Our study reveals that LLMs tend to pay less attention to user prompts
as more code tokens ar... | 2024-08-17T07:11:02Z | Accepted by ICML'25 | null | null | Selective Prompt Anchoring for Code Generation | ['Yuan Tian', 'Tianyi Zhang'] | 2,024 | arXiv.org | 3 | 94 | ['Computer Science'] |
2,408.09174 | TableBench: A Comprehensive and Complex Benchmark for Table Question
Answering | ['Xianjie Wu', 'Jian Yang', 'Linzheng Chai', 'Ge Zhang', 'Jiaheng Liu', 'Xinrun Du', 'Di Liang', 'Daixin Shu', 'Xianfu Cheng', 'Tianzhen Sun', 'Guanglin Niu', 'Tongliang Li', 'Zhoujun Li'] | ['cs.CL'] | Recent advancements in Large Language Models (LLMs) have markedly enhanced
the interpretation and processing of tabular data, introducing previously
unimaginable capabilities. Despite these achievements, LLMs still encounter
significant challenges when applied in industrial scenarios, particularly due
to the increased ... | 2024-08-17T11:40:10Z | 12 pages | null | null | TableBench: A Comprehensive and Complex Benchmark for Table Question Answering | ['Xianjie Wu', 'Jian Yang', 'Linzheng Chai', 'Ge Zhang', 'Jiaheng Liu', 'Xinrun Du', 'Di Liang', 'Daixin Shu', 'Xianfu Cheng', 'Tianzhen Sun', 'Guanglin Niu', 'Tongliang Li', 'Zhoujun Li'] | 2,024 | AAAI Conference on Artificial Intelligence | 41 | 55 | ['Computer Science'] |
2,408.09348 | Hyperstroke: A Novel High-quality Stroke Representation for Assistive
Artistic Drawing | ['Haoyun Qin', 'Jian Lin', 'Hanyuan Liu', 'Xueting Liu', 'Chengze Li'] | ['cs.CV'] | Assistive drawing aims to facilitate the creative process by providing
intelligent guidance to artists. Existing solutions often fail to effectively
model intricate stroke details or adequately address the temporal aspects of
drawing. We introduce hyperstroke, a novel stroke representation designed to
capture precise f... | 2024-08-18T04:05:53Z | 11 pages, 10 figures | null | null | Hyperstroke: A Novel High-quality Stroke Representation for Assistive Artistic Drawing | ['Haoyun Qin', 'Jian Lin', 'Hanyuan Liu', 'Xueting Liu', 'Chengze Li'] | 2,024 | SIGGRAPH Asia Technical Communications | 0 | 14 | ['Computer Science'] |
2,408.0964 | Acquiring Bidirectionality via Large and Small Language Models | ['Takumi Goto', 'Hiroyoshi Nagao', 'Yuta Koreeda'] | ['cs.CL'] | Using token representation from bidirectional language models (LMs) such as
BERT is still a widely used approach for token-classification tasks. Even
though there exist much larger unidirectional LMs such as Llama-2, they are
rarely used to replace the token representation of bidirectional LMs. In this
work, we hypothe... | 2024-08-19T01:54:37Z | Accepted by COLING2025 | null | null | Acquiring Bidirectionality via Large and Small Language Models | ['Takumi Goto', 'Hiroyoshi Nagao', 'Yuta Koreeda'] | 2,024 | International Conference on Computational Linguistics | 0 | 26 | ['Computer Science'] |
2,408.09744 | RealCustom++: Representing Images as Real-Word for Real-Time
Customization | ['Zhendong Mao', 'Mengqi Huang', 'Fei Ding', 'Mingcong Liu', 'Qian He', 'Yongdong Zhang'] | ['cs.CV'] | Text-to-image customization, which takes given texts and images depicting
given subjects as inputs, aims to synthesize new images that align with both
text semantics and subject appearance. This task provides precise control over
details that text alone cannot capture and is fundamental for various
real-world applicati... | 2024-08-19T07:15:44Z | 23 pages | null | null | RealCustom++: Representing Images as Real-Word for Real-Time Customization | ['Zhendong Mao', 'Mengqi Huang', 'Fei Ding', 'Mingcong Liu', 'Qian He', 'Xiaojun Chang', 'Yongdong Zhang'] | 2,024 | arXiv.org | 6 | 94 | ['Computer Science'] |
2,408.09869 | Docling Technical Report | ['Christoph Auer', 'Maksym Lysak', 'Ahmed Nassar', 'Michele Dolfi', 'Nikolaos Livathinos', 'Panos Vagenas', 'Cesar Berrospi Ramis', 'Matteo Omenetti', 'Fabian Lindlbauer', 'Kasper Dinkla', 'Lokesh Mishra', 'Yusik Kim', 'Shubham Gupta', 'Rafael Teixeira de Lima', 'Valery Weber', 'Lucas Morin', 'Ingmar Meijer', 'Viktor K... | ['cs.CL', 'cs.CV', 'cs.SE'] | This technical report introduces Docling, an easy to use, self-contained,
MIT-licensed open-source package for PDF document conversion. It is powered by
state-of-the-art specialized AI models for layout analysis (DocLayNet) and
table structure recognition (TableFormer), and runs efficiently on commodity
hardware in a s... | 2024-08-19T10:20:06Z | Docling v1 report | null | null | Docling Technical Report | ['Christoph Auer', 'Maksym Lysak', 'Ahmed Nassar', 'Michele Dolfi', 'Nikolaos Livathinos', 'Panos Vagenas', 'Cesar Berrospi Ramis', 'Matteo Omenetti', 'Fabian Lindlbauer', 'K. Dinkla', "Val'ery Weber", 'Lucas Morin', 'Ingmar Meijer', 'Viktor Kuropiatnyk', 'P. Staar'] | 2,024 | arXiv.org | 7 | 21 | ['Computer Science'] |
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