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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2,403.07816 | Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM | ['Sainbayar Sukhbaatar', 'Olga Golovneva', 'Vasu Sharma', 'Hu Xu', 'Xi Victoria Lin', 'Baptiste Rozière', 'Jacob Kahn', 'Daniel Li', 'Wen-tau Yih', 'Jason Weston', 'Xian Li'] | ['cs.CL', 'cs.AI'] | We investigate efficient methods for training Large Language Models (LLMs) to
possess capabilities in multiple specialized domains, such as coding, math
reasoning and world knowledge. Our method, named Branch-Train-MiX (BTX), starts
from a seed model, which is branched to train experts in embarrassingly
parallel fashio... | 2024-03-12T16:54:58Z | null | null | null | Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM | ['Sainbayar Sukhbaatar', 'Olga Golovneva', 'Vasu Sharma', 'Hu Xu', 'Xi Victoria Lin', 'Baptiste Rozière', 'Jacob Kahn', 'Shang-Wen Li', 'Wen-tau Yih', 'Jason E. Weston', 'Xian Li'] | 2,024 | arXiv.org | 69 | 40 | ['Computer Science'] |
2,403.07974 | LiveCodeBench: Holistic and Contamination Free Evaluation of Large
Language Models for Code | ['Naman Jain', 'King Han', 'Alex Gu', 'Wen-Ding Li', 'Fanjia Yan', 'Tianjun Zhang', 'Sida Wang', 'Armando Solar-Lezama', 'Koushik Sen', 'Ion Stoica'] | ['cs.SE', 'cs.CL', 'cs.LG'] | Large Language Models (LLMs) applied to code-related applications have
emerged as a prominent field, attracting significant interest from both
academia and industry. However, as new and improved LLMs are developed,
existing evaluation benchmarks (e.g., HumanEval, MBPP) are no longer sufficient
for assessing their capab... | 2024-03-12T17:58:04Z | Website - https://livecodebench.github.io/ | null | null | null | null | null | null | null | null | null |
2,403.08002 | Towards a clinically accessible radiology foundation model: open-access
and lightweight, with automated evaluation | ['Juan Manuel Zambrano Chaves', 'Shih-Cheng Huang', 'Yanbo Xu', 'Hanwen Xu', 'Naoto Usuyama', 'Sheng Zhang', 'Fei Wang', 'Yujia Xie', 'Mahmoud Khademi', 'Ziyi Yang', 'Hany Awadalla', 'Julia Gong', 'Houdong Hu', 'Jianwei Yang', 'Chunyuan Li', 'Jianfeng Gao', 'Yu Gu', 'Cliff Wong', 'Mu Wei', 'Tristan Naumann', 'Muhao Che... | ['cs.CL', 'cs.CV'] | The scaling laws and extraordinary performance of large foundation models
motivate the development and utilization of such models in biomedicine.
However, despite early promising results on some biomedical benchmarks, there
are still major challenges that need to be addressed before these models can be
used in real-wor... | 2024-03-12T18:12:02Z | null | Nature Communications volume 16, Article number: 3108 (2025) | 10.1038/s41467-025-58344-x | null | null | null | null | null | null | null |
2,403.08228 | Empowering Robot Path Planning with Large Language Models: osmAG Map
Topology & Hierarchy Comprehension with LLMs | ['Fujing Xie', 'Sören Schwertfeger'] | ['cs.RO'] | Large Language Models (LLMs) have demonstrated great potential in robotic
applications by providing essential general knowledge. Mobile robots rely on
map comprehension for tasks like localization and navigation. In this paper, we
explore enabling LLMs to comprehend the topology and hierarchy of Area Graph, a
text-base... | 2024-03-13T04:11:41Z | Accepted at IEEE International Conference on Robotics and Biomimetics
(ROBIO) 2024 | null | null | null | null | null | null | null | null | null |
2,403.08266 | Sketch2Manga: Shaded Manga Screening from Sketch with Diffusion Models | ['Jian Lin', 'Xueting Liu', 'Chengze Li', 'Minshan Xie', 'Tien-Tsin Wong'] | ['cs.CV', 'cs.GR', 'I.4.6; I.3.3; I.3.8'] | While manga is a popular entertainment form, creating manga is tedious,
especially adding screentones to the created sketch, namely manga screening.
Unfortunately, there is no existing method that tailors for automatic manga
screening, probably due to the difficulty of generating high-quality shaded
high-frequency scre... | 2024-03-13T05:33:52Z | 7 pages, 6 figures | null | null | null | null | null | null | null | null | null |
2,403.08295 | Gemma: Open Models Based on Gemini Research and Technology | ['Gemma Team', 'Thomas Mesnard', 'Cassidy Hardin', 'Robert Dadashi', 'Surya Bhupatiraju', 'Shreya Pathak', 'Laurent Sifre', 'Morgane Rivière', 'Mihir Sanjay Kale', 'Juliette Love', 'Pouya Tafti', 'Léonard Hussenot', 'Pier Giuseppe Sessa', 'Aakanksha Chowdhery', 'Adam Roberts', 'Aditya Barua', 'Alex Botev', 'Alex Castro... | ['cs.CL', 'cs.AI'] | This work introduces Gemma, a family of lightweight, state-of-the art open
models built from the research and technology used to create Gemini models.
Gemma models demonstrate strong performance across academic benchmarks for
language understanding, reasoning, and safety. We release two sizes of models
(2 billion and 7... | 2024-03-13T06:59:16Z | null | null | null | null | null | null | null | null | null | null |
2,403.08321 | ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic
Manipulation | ['Guanxing Lu', 'Shiyi Zhang', 'Ziwei Wang', 'Changliu Liu', 'Jiwen Lu', 'Yansong Tang'] | ['cs.RO', 'cs.CV'] | Performing language-conditioned robotic manipulation tasks in unstructured
environments is highly demanded for general intelligent robots. Conventional
robotic manipulation methods usually learn semantic representation of the
observation for action prediction, which ignores the scene-level spatiotemporal
dynamics for h... | 2024-03-13T08:06:41Z | https://guanxinglu.github.io/ManiGaussian/ | null | null | ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation | ['Guanxing Lu', 'Shiyi Zhang', 'Ziwei Wang', 'Changliu Liu', 'Jiwen Lu', 'Yansong Tang'] | 2,024 | European Conference on Computer Vision | 57 | 83 | ['Computer Science'] |
2,403.08715 | SOTOPIA-$π$: Interactive Learning of Socially Intelligent Language
Agents | ['Ruiyi Wang', 'Haofei Yu', 'Wenxin Zhang', 'Zhengyang Qi', 'Maarten Sap', 'Graham Neubig', 'Yonatan Bisk', 'Hao Zhu'] | ['cs.CL'] | Humans learn social skills through both imitation and social interaction.
This social learning process is largely understudied by existing research on
building language agents. Motivated by this gap, we propose an interactive
learning method, SOTOPIA-$\pi$, improving the social intelligence of language
agents. This met... | 2024-03-13T17:17:48Z | null | null | null | null | null | null | null | null | null | null |
2,403.08721 | Historical Astronomical Diagrams Decomposition in Geometric Primitives | ['Syrine Kalleli', 'Scott Trigg', 'Ségolène Albouy', 'Mathieu Husson', 'Mathieu Aubry'] | ['cs.CV'] | Automatically extracting the geometric content from the hundreds of thousands
of diagrams drawn in historical manuscripts would enable historians to study
the diffusion of astronomical knowledge on a global scale. However,
state-of-the-art vectorization methods, often designed to tackle modern data,
are not adapted to ... | 2024-03-13T17:20:25Z | Code and dataset are available in
http://imagine.enpc.fr/~kallelis/icdar2024/ | null | null | Historical Astronomical Diagrams Decomposition in Geometric Primitives | ['Syrine Kalleli', 'Scott Trigg', "S'egolene Albouy", 'Mathieu Husson', 'Mathieu Aubry'] | 2,024 | IEEE International Conference on Document Analysis and Recognition | 2 | 43 | ['Computer Science'] |
2,403.08763 | Simple and Scalable Strategies to Continually Pre-train Large Language
Models | ['Adam Ibrahim', 'Benjamin Thérien', 'Kshitij Gupta', 'Mats L. Richter', 'Quentin Anthony', 'Timothée Lesort', 'Eugene Belilovsky', 'Irina Rish'] | ['cs.LG', 'cs.AI', 'cs.CL'] | Large language models (LLMs) are routinely pre-trained on billions of tokens,
only to start the process over again once new data becomes available. A much
more efficient solution is to continually pre-train these models, saving
significant compute compared to re-training. However, the distribution shift
induced by new ... | 2024-03-13T17:58:57Z | null | null | null | Simple and Scalable Strategies to Continually Pre-train Large Language Models | ['Adam Ibrahim', "Benjamin Th'erien", 'Kshitij Gupta', 'Mats L. Richter', 'Quentin Anthony', 'Timothée Lesort', 'Eugene Belilovsky', 'Irina Rish'] | 2,024 | Trans. Mach. Learn. Res. | 63 | 98 | ['Computer Science'] |
2,403.08773 | Veagle: Advancements in Multimodal Representation Learning | ['Rajat Chawla', 'Arkajit Datta', 'Tushar Verma', 'Adarsh Jha', 'Anmol Gautam', 'Ayush Vatsal', 'Sukrit Chaterjee', 'Mukunda NS', 'Ishaan Bhola'] | ['cs.CV', 'cs.AI', 'cs.CL', 'cs.MM'] | Lately, researchers in artificial intelligence have been really interested in
how language and vision come together, giving rise to the development of
multimodal models that aim to seamlessly integrate textual and visual
information. Multimodal models, an extension of Large Language Models (LLMs),
have exhibited remark... | 2024-01-18T12:45:25Z | null | null | null | Veagle: Advancements in Multimodal Representation Learning | ['Rajat Chawla', 'Arkajit Datta', 'Tushar Verma', 'Adarsh Jha', 'Anmol Gautam', 'Ayush Vatsal', 'Sukrit Chaterjee', 'NS Mukunda', 'Ishaan Bhola'] | 2,024 | arXiv.org | 4 | 28 | ['Computer Science'] |
2,403.08819 | Thermometer: Towards Universal Calibration for Large Language Models | ['Maohao Shen', 'Subhro Das', 'Kristjan Greenewald', 'Prasanna Sattigeri', 'Gregory Wornell', 'Soumya Ghosh'] | ['cs.LG', 'cs.CL', 'stat.ML'] | We consider the issue of calibration in large language models (LLM). Recent
studies have found that common interventions such as instruction tuning often
result in poorly calibrated LLMs. Although calibration is well-explored in
traditional applications, calibrating LLMs is uniquely challenging. These
challenges stem a... | 2024-02-20T04:13:48Z | Camera ready version for ICML 2024 | null | null | null | null | null | null | null | null | null |
2,403.08857 | DialogGen: Multi-modal Interactive Dialogue System for Multi-turn
Text-to-Image Generation | ['Minbin Huang', 'Yanxin Long', 'Xinchi Deng', 'Ruihang Chu', 'Jiangfeng Xiong', 'Xiaodan Liang', 'Hong Cheng', 'Qinglin Lu', 'Wei Liu'] | ['cs.CV'] | Text-to-image (T2I) generation models have significantly advanced in recent
years. However, effective interaction with these models is challenging for
average users due to the need for specialized prompt engineering knowledge and
the inability to perform multi-turn image generation, hindering a dynamic and
iterative cr... | 2024-03-13T18:00:01Z | Project page: https://hunyuan-dialoggen.github.io/. Accepted to
NAACL2025 | null | null | DialogGen: Multi-modal Interactive Dialogue System for Multi-turn Text-to-Image Generation | ['Minbin Huang', 'Yanxin Long', 'Xinchi Deng', 'Ruihang Chu', 'Jiangfeng Xiong', 'Xiaodan Liang', 'Hong Cheng', 'Qinglin Lu', 'Wei Liu'] | 2,024 | arXiv.org | 10 | 35 | ['Computer Science'] |
2,403.08902 | Envision3D: One Image to 3D with Anchor Views Interpolation | ['Yatian Pang', 'Tanghui Jia', 'Yujun Shi', 'Zhenyu Tang', 'Junwu Zhang', 'Xinhua Cheng', 'Xing Zhou', 'Francis E. H. Tay', 'Li Yuan'] | ['cs.CV'] | We present Envision3D, a novel method for efficiently generating high-quality
3D content from a single image. Recent methods that extract 3D content from
multi-view images generated by diffusion models show great potential. However,
it is still challenging for diffusion models to generate dense multi-view
consistent im... | 2024-03-13T18:46:33Z | GitHub repository: https://github.com/PKU-YuanGroup/Envision3D | null | null | null | null | null | null | null | null | null |
2,403.09028 | ChartInstruct: Instruction Tuning for Chart Comprehension and Reasoning | ['Ahmed Masry', 'Mehrad Shahmohammadi', 'Md Rizwan Parvez', 'Enamul Hoque', 'Shafiq Joty'] | ['cs.CL'] | Charts provide visual representations of data and are widely used for
analyzing information, addressing queries, and conveying insights to others.
Various chart-related downstream tasks have emerged recently, such as
question-answering and summarization. A common strategy to solve these tasks is
to fine-tune various mo... | 2024-03-14T01:40:23Z | null | null | null | null | null | null | null | null | null | null |
2,403.09029 | Unlocking the conversion of Web Screenshots into HTML Code with the
WebSight Dataset | ['Hugo Laurençon', 'Léo Tronchon', 'Victor Sanh'] | ['cs.HC', 'cs.AI', 'cs.CV'] | Using vision-language models (VLMs) in web development presents a promising
strategy to increase efficiency and unblock no-code solutions: by providing a
screenshot or a sketch of a UI, a VLM could generate the code to reproduce it,
for instance in a language like HTML. Despite the advancements in VLMs for
various task... | 2024-03-14T01:40:40Z | null | null | null | Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset | ['Hugo Laurençon', 'Léo Tronchon', 'Victor Sanh'] | 2,024 | arXiv.org | 43 | 11 | ['Computer Science'] |
2,403.09037 | The First to Know: How Token Distributions Reveal Hidden Knowledge in
Large Vision-Language Models? | ['Qinyu Zhao', 'Ming Xu', 'Kartik Gupta', 'Akshay Asthana', 'Liang Zheng', 'Stephen Gould'] | ['cs.CV', 'cs.CL'] | Large vision-language models (LVLMs), designed to interpret and respond to
human instructions, occasionally generate hallucinated or harmful content due
to inappropriate instructions. This study uses linear probing to shed light on
the hidden knowledge at the output layers of LVLMs. We demonstrate that the
logit distri... | 2024-03-14T02:25:35Z | ECCV 2024. Project page: https://github.com/Qinyu-Allen-Zhao/LVLM-LP | null | null | The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models? | ['Qinyu Zhao', 'Ming Xu', 'Kartik Gupta', 'Akshay Asthana', 'Liang Zheng', 'Stephen Gould'] | 2,024 | European Conference on Computer Vision | 8 | 45 | ['Computer Science'] |
2,403.09073 | Revealing the Parallel Multilingual Learning within Large Language
Models | ['Yongyu Mu', 'Peinan Feng', 'Zhiquan Cao', 'Yuzhang Wu', 'Bei Li', 'Chenglong Wang', 'Tong Xiao', 'Kai Song', 'Tongran Liu', 'Chunliang Zhang', 'Jingbo Zhu'] | ['cs.CL'] | In this study, we reveal an in-context learning (ICL) capability of
multilingual large language models (LLMs): by translating the input to several
languages, we provide Parallel Input in Multiple Languages (PiM) to LLMs, which
significantly enhances their comprehension abilities. To test this capability,
we design exte... | 2024-03-14T03:33:46Z | Accepted to EMNLP 2024 | null | null | Revealing the Parallel Multilingual Learning within Large Language Models | ['Yongyu Mu', 'Peinan Feng', 'Zhiquan Cao', 'Yuzhang Wu', 'Bei Li', 'Chenglong Wang', 'Tong Xiao', 'Kai Song', 'Tongran Liu', 'Chunliang Zhang', 'Jingbo Zhu'] | 2,024 | Conference on Empirical Methods in Natural Language Processing | 5 | 42 | ['Computer Science'] |
2,403.0911 | SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning | ['Nicholas Zolman', 'Urban Fasel', 'J. Nathan Kutz', 'Steven L. Brunton'] | ['cs.LG', 'cs.SY', 'eess.SY', 'math.DS', 'math.OC'] | Deep reinforcement learning (DRL) has shown significant promise for
uncovering sophisticated control policies that interact in environments with
complicated dynamics, such as stabilizing the magnetohydrodynamics of a tokamak
fusion reactor or minimizing the drag force exerted on an object in a fluid
flow. However, thes... | 2024-03-14T05:17:39Z | 24 pages + 14 appendices (45 pages total). 25 figures, 7 tables. For
code, see https://github.com/nzolman/sindy-rl | null | null | SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning | ['Nicholas Zolman', 'Urban Fasel', 'J. Kutz', 'S. Brunton'] | 2,024 | arXiv.org | 11 | 128 | ['Computer Science', 'Engineering', 'Mathematics'] |
2,403.09159 | Basque and Spanish Counter Narrative Generation: Data Creation and
Evaluation | ['Jaione Bengoetxea', 'Yi-Ling Chung', 'Marco Guerini', 'Rodrigo Agerri'] | ['cs.CL'] | Counter Narratives (CNs) are non-negative textual responses to Hate Speech
(HS) aiming at defusing online hatred and mitigating its spreading across
media. Despite the recent increase in HS content posted online, research on
automatic CN generation has been relatively scarce and predominantly focused on
English. In thi... | 2024-03-14T08:12:47Z | Accepted for the Joint International Conference on Computational
Linguistics, Language Resources and Evaluation (LREC-COLING) 2024 | null | null | Basque and Spanish Counter Narrative Generation: Data Creation and Evaluation | ['Jaione Bengoetxea', 'Yi-ling Chung', 'Marco Guerini', 'R. Agerri'] | 2,024 | International Conference on Language Resources and Evaluation | 8 | 39 | ['Computer Science'] |
2,403.09207 | TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic
Tasks | ['Viktor Moskvoretskii', 'Ekaterina Neminova', 'Alina Lobanova', 'Alexander Panchenko', 'Irina Nikishina'] | ['cs.CL'] | In this paper, we explore the capabilities of LLMs in capturing
lexical-semantic knowledge from WordNet on the example of the LLaMA-2-7b model
and test it on multiple lexical semantic tasks. As the outcome of our
experiments, we present TaxoLLaMA, the everything-in-one model, lightweight due
to 4-bit quantization and L... | 2024-03-14T09:21:25Z | ACL Main 2024, 18 pages, 8 figures | https://aclanthology.org/2024.acl-long.127 | 10.18653/v1/2024.acl-long.127 | TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Sematic Tasks | ['Viktor Moskvoretskii', 'Ekaterina Neminova', 'Alina Lobanova', 'Alexander Panchenko', 'Irina Nikishina'] | 2,024 | Annual Meeting of the Association for Computational Linguistics | 9 | 47 | ['Computer Science'] |
2,403.09281 | CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise
Classification | ['Yiming Ma', 'Victor Sanchez', 'Tanaya Guha'] | ['cs.CV'] | We propose CLIP-EBC, the first fully CLIP-based model for accurate crowd
density estimation. While the CLIP model has demonstrated remarkable success in
addressing recognition tasks such as zero-shot image classification, its
potential for counting has been largely unexplored due to the inherent
challenges in transform... | 2024-03-14T11:08:33Z | This is the author's accepted manuscript. The final version is
published in ICME 2025 | null | null | null | null | null | null | null | null | null |
2,403.09302 | StainFuser: Controlling Diffusion for Faster Neural Style Transfer in
Multi-Gigapixel Histology Images | ['Robert Jewsbury', 'Ruoyu Wang', 'Abhir Bhalerao', 'Nasir Rajpoot', 'Quoc Dang Vu'] | ['eess.IV', 'cs.CV', 'cs.LG'] | Stain normalization algorithms aim to transform the color and intensity
characteristics of a source multi-gigapixel histology image to match those of a
target image, mitigating inconsistencies in the appearance of stains used to
highlight cellular components in the images. We propose a new approach,
StainFuser, which t... | 2024-03-14T11:49:43Z | null | null | null | null | null | null | null | null | null | null |
2,403.09362 | Komodo: A Linguistic Expedition into Indonesia's Regional Languages | ['Louis Owen', 'Vishesh Tripathi', 'Abhay Kumar', 'Biddwan Ahmed'] | ['cs.CL'] | The recent breakthroughs in Large Language Models (LLMs) have mostly focused
on languages with easily available and sufficient resources, such as English.
However, there remains a significant gap for languages that lack sufficient
linguistic resources in the public domain. Our work introduces Komodo-7B,
7-billion-param... | 2024-03-14T13:12:21Z | 30 Pages, 8 Figures, 4 Tables | null | null | Komodo: A Linguistic Expedition into Indonesia's Regional Languages | ['Louis Owen', 'Vishesh Tripathi', 'Abhay Kumar', 'Biddwan Ahmed'] | 2,024 | arXiv.org | 8 | 35 | ['Computer Science'] |
2,403.09394 | GiT: Towards Generalist Vision Transformer through Universal Language
Interface | ['Haiyang Wang', 'Hao Tang', 'Li Jiang', 'Shaoshuai Shi', 'Muhammad Ferjad Naeem', 'Hongsheng Li', 'Bernt Schiele', 'Liwei Wang'] | ['cs.CV'] | This paper proposes a simple, yet effective framework, called GiT,
simultaneously applicable for various vision tasks only with a vanilla ViT.
Motivated by the universality of the Multi-layer Transformer architecture (e.g,
GPT) widely used in large language models (LLMs), we seek to broaden its scope
to serve as a powe... | 2024-03-14T13:47:41Z | null | null | null | GiT: Towards Generalist Vision Transformer through Universal Language Interface | ['Haiyang Wang', 'Hao Tang', 'Li Jiang', 'Shaoshuai Shi', 'Muhammad Ferjad Naeem', 'Hongsheng Li', 'B. Schiele', 'Liwei Wang'] | 2,024 | European Conference on Computer Vision | 13 | 105 | ['Computer Science'] |
2,403.09622 | Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering | ['Zeyu Liu', 'Weicong Liang', 'Zhanhao Liang', 'Chong Luo', 'Ji Li', 'Gao Huang', 'Yuhui Yuan'] | ['cs.CV'] | Visual text rendering poses a fundamental challenge for contemporary
text-to-image generation models, with the core problem lying in text encoder
deficiencies. To achieve accurate text rendering, we identify two crucial
requirements for text encoders: character awareness and alignment with glyphs.
Our solution involves... | 2024-03-14T17:55:33Z | ECCV 2024, 19 pages, 19 figures | null | null | null | null | null | null | null | null | null |
2,403.09629 | Quiet-STaR: Language Models Can Teach Themselves to Think Before
Speaking | ['Eric Zelikman', 'Georges Harik', 'Yijia Shao', 'Varuna Jayasiri', 'Nick Haber', 'Noah D. Goodman'] | ['cs.CL', 'cs.AI', 'cs.LG'] | When writing and talking, people sometimes pause to think. Although
reasoning-focused works have often framed reasoning as a method of answering
questions or completing agentic tasks, reasoning is implicit in almost all
written text. For example, this applies to the steps not stated between the
lines of a proof or to t... | 2024-03-14T17:58:16Z | null | null | null | null | null | null | null | null | null | null |
2,403.09636 | Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference | ['Piotr Nawrot', 'Adrian Łańcucki', 'Marcin Chochowski', 'David Tarjan', 'Edoardo M. Ponti'] | ['cs.CL'] | Transformers have emerged as the backbone of large language models (LLMs).
However, generation remains inefficient due to the need to store in memory a
cache of key-value representations for past tokens, whose size scales linearly
with the input sequence length and batch size. As a solution, we propose
Dynamic Memory C... | 2024-03-14T17:59:26Z | null | Proceedings of the 41st International Conference on Machine
Learning (2024) 37396-37412 | null | null | null | null | null | null | null | null |
2,403.09638 | SCP-Diff: Spatial-Categorical Joint Prior for Diffusion Based Semantic
Image Synthesis | ['Huan-ang Gao', 'Mingju Gao', 'Jiaju Li', 'Wenyi Li', 'Rong Zhi', 'Hao Tang', 'Hao Zhao'] | ['cs.CV'] | Semantic image synthesis (SIS) shows good promises for sensor simulation.
However, current best practices in this field, based on GANs, have not yet
reached the desired level of quality. As latent diffusion models make
significant strides in image generation, we are prompted to evaluate
ControlNet, a notable method for... | 2024-03-14T17:59:55Z | Project Page: https://air-discover.github.io/SCP-Diff/ | null | null | null | null | null | null | null | null | null |
2,403.09714 | Linguistic Structure Induction from Language Models | ['Omar Momen'] | ['cs.CL', 'cs.AI'] | Linear sequences of words are implicitly represented in our brains by
hierarchical structures that organize the composition of words in sentences.
Linguists formalize different frameworks to model this hierarchy; two of the
most common syntactic frameworks are Constituency and Dependency. Constituency
represents senten... | 2024-03-11T16:54:49Z | Master's Thesis. Supervised by Laura Kallmeyer and David Arps | null | null | null | null | null | null | null | null | null |
2,403.09719 | Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew
Language | ['Vitaly Shalumov', 'Harel Haskey', 'Yuval Solaz'] | ['cs.CL', 'cs.AI'] | In this paper, we introduce summarization MevakerSumm and conclusion
extraction MevakerConc datasets for the Hebrew language based on the State
Comptroller and Ombudsman of Israel reports, along with two auxiliary datasets.
We accompany these datasets with models for conclusion extraction (HeConE,
HeConEspc) and conclu... | 2024-03-12T08:40:44Z | null | null | null | null | null | null | null | null | null | null |
2,403.09724 | ClaimVer: Explainable Claim-Level Verification and Evidence Attribution
of Text Through Knowledge Graphs | ['Preetam Prabhu Srikar Dammu', 'Himanshu Naidu', 'Mouly Dewan', 'YoungMin Kim', 'Tanya Roosta', 'Aman Chadha', 'Chirag Shah'] | ['cs.CL', 'cs.CY', 'cs.LG'] | In the midst of widespread misinformation and disinformation through social
media and the proliferation of AI-generated texts, it has become increasingly
difficult for people to validate and trust information they encounter. Many
fact-checking approaches and tools have been developed, but they often lack
appropriate ex... | 2024-03-12T17:07:53Z | EMNLP 2024 Findings | null | null | ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs | ['Preetam Prabhu Srikar Dammu', 'Himanshu Naidu', 'Mouly Dewan', 'YoungMin Kim', 'Tanya Roosta', 'Aman Chadha', 'Chirag Shah'] | 2,024 | Conference on Empirical Methods in Natural Language Processing | 8 | 54 | ['Computer Science'] |
2,403.10059 | Repoformer: Selective Retrieval for Repository-Level Code Completion | ['Di Wu', 'Wasi Uddin Ahmad', 'Dejiao Zhang', 'Murali Krishna Ramanathan', 'Xiaofei Ma'] | ['cs.SE', 'cs.CL'] | Recent advances in retrieval-augmented generation (RAG) have initiated a new
era in repository-level code completion. However, the invariable use of
retrieval in existing methods exposes issues in both efficiency and robustness,
with a large proportion of the retrieved contexts proving unhelpful or harmful
to code lang... | 2024-03-15T06:59:43Z | ICML 2024 | null | null | Repoformer: Selective Retrieval for Repository-Level Code Completion | ['Di Wu', 'W. Ahmad', 'Dejiao Zhang', 'M. K. Ramanathan', 'Xiaofei Ma'] | 2,024 | International Conference on Machine Learning | 27 | 43 | ['Computer Science'] |
2,403.10131 | RAFT: Adapting Language Model to Domain Specific RAG | ['Tianjun Zhang', 'Shishir G. Patil', 'Naman Jain', 'Sheng Shen', 'Matei Zaharia', 'Ion Stoica', 'Joseph E. Gonzalez'] | ['cs.CL', 'cs.AI'] | Pretraining Large Language Models (LLMs) on large corpora of textual data is
now a standard paradigm. When using these LLMs for many downstream
applications, it is common to additionally bake in new knowledge (e.g.,
time-critical news, or private domain knowledge) into the pretrained model
either through RAG-based-prom... | 2024-03-15T09:26:02Z | null | null | null | RAFT: Adapting Language Model to Domain Specific RAG | ['Tianjun Zhang', 'Shishir G. Patil', 'Naman Jain', 'Sheng Shen', 'M. Zaharia', 'Ion Stoica', 'Joseph Gonzalez'] | 2,024 | arXiv.org | 213 | 57 | ['Computer Science'] |
2,403.10179 | Animate Your Motion: Turning Still Images into Dynamic Videos | ['Mingxiao Li', 'Bo Wan', 'Marie-Francine Moens', 'Tinne Tuytelaars'] | ['cs.CV'] | In recent years, diffusion models have made remarkable strides in
text-to-video generation, sparking a quest for enhanced control over video
outputs to more accurately reflect user intentions. Traditional efforts
predominantly focus on employing either semantic cues, like images or depth
maps, or motion-based condition... | 2024-03-15T10:36:24Z | Accepted at European Conference on Computer Vision (ECCV 2024) | null | null | null | null | null | null | null | null | null |
2,403.10228 | HawkEye: Training Video-Text LLMs for Grounding Text in Videos | ['Yueqian Wang', 'Xiaojun Meng', 'Jianxin Liang', 'Yuxuan Wang', 'Qun Liu', 'Dongyan Zhao'] | ['cs.CV', 'cs.AI', 'cs.CL'] | Video-text Large Language Models (video-text LLMs) have shown remarkable
performance in answering questions and holding conversations on simple videos.
However, they perform almost the same as random on grounding text queries in
long and complicated videos, having little ability to understand and reason
about temporal ... | 2024-03-15T11:58:18Z | null | null | null | null | null | null | null | null | null | null |
2,403.1038 | BirdSet: A Large-Scale Dataset for Audio Classification in Avian
Bioacoustics | ['Lukas Rauch', 'Raphael Schwinger', 'Moritz Wirth', 'René Heinrich', 'Denis Huseljic', 'Marek Herde', 'Jonas Lange', 'Stefan Kahl', 'Bernhard Sick', 'Sven Tomforde', 'Christoph Scholz'] | ['cs.SD', 'cs.AI', 'eess.AS'] | Deep learning (DL) has greatly advanced audio classification, yet the field
is limited by the scarcity of large-scale benchmark datasets that have
propelled progress in other domains. While AudioSet is a pivotal step to bridge
this gap as a universal-domain dataset, its restricted accessibility and
limited range of eva... | 2024-03-15T15:10:40Z | accepted as spotlight @ICLR2025 | null | null | BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics | ['Lukas Rauch', 'Raphael Schwinger', 'Moritz Wirth', "Ren'e Heinrich", 'Denis Huseljic', 'M. Herde', 'Jonas Lange', 'Stefan Kahl', 'Bernhard Sick', 'Sven Tomforde', 'Christoph Scholz'] | 2,024 | International Conference on Learning Representations | 5 | 92 | ['Computer Science', 'Engineering'] |
2,403.10395 | Isotropic3D: Image-to-3D Generation Based on a Single CLIP Embedding | ['Pengkun Liu', 'Yikai Wang', 'Fuchun Sun', 'Jiafang Li', 'Hang Xiao', 'Hongxiang Xue', 'Xinzhou Wang'] | ['cs.CV', 'cs.LG'] | Encouraged by the growing availability of pre-trained 2D diffusion models,
image-to-3D generation by leveraging Score Distillation Sampling (SDS) is
making remarkable progress. Most existing methods combine novel-view lifting
from 2D diffusion models which usually take the reference image as a condition
while applying ... | 2024-03-15T15:27:58Z | Project page: https://isotropic3d.github.io/ Source code:
https://github.com/pkunliu/Isotropic3D | null | null | null | null | null | null | null | null | null |
2,403.10518 | Lodge: A Coarse to Fine Diffusion Network for Long Dance Generation
Guided by the Characteristic Dance Primitives | ['Ronghui Li', 'YuXiang Zhang', 'Yachao Zhang', 'Hongwen Zhang', 'Jie Guo', 'Yan Zhang', 'Yebin Liu', 'Xiu Li'] | ['cs.CV', 'cs.GR', 'cs.SD', 'eess.AS'] | We propose Lodge, a network capable of generating extremely long dance
sequences conditioned on given music. We design Lodge as a two-stage coarse to
fine diffusion architecture, and propose the characteristic dance primitives
that possess significant expressiveness as intermediate representations between
two diffusion... | 2024-03-15T17:59:33Z | Accepted by CVPR2024, Project page:
https://li-ronghui.github.io/lodge | null | null | Lodge: A Coarse to Fine Diffusion Network for Long Dance Generation Guided by the Characteristic Dance Primitives | ['Ronghui Li', 'Yuxiang Zhang', 'Yachao Zhang', 'Hongwen Zhang', 'Jie Guo', 'Yan Zhang', 'Yebin Liu', 'Xiu Li'] | 2,024 | Computer Vision and Pattern Recognition | 35 | 68 | ['Computer Science', 'Engineering'] |
2,403.10534 | VISREAS: Complex Visual Reasoning with Unanswerable Questions | ['Syeda Nahida Akter', 'Sangwu Lee', 'Yingshan Chang', 'Yonatan Bisk', 'Eric Nyberg'] | ['cs.CV', 'cs.AI'] | Verifying a question's validity before answering is crucial in real-world
applications, where users may provide imperfect instructions. In this scenario,
an ideal model should address the discrepancies in the query and convey them to
the users rather than generating the best possible answer. Addressing this
requirement... | 2024-02-23T00:12:10Z | 18 pages, 14 figures, 5 tables | null | null | null | null | null | null | null | null | null |
2,403.10635 | MeDSLIP: Medical Dual-Stream Language-Image Pre-training with
Pathology-Anatomy Semantic Alignment | ['Wenrui Fan', 'Mohammod N. I. Suvon', 'Shuo Zhou', 'Xianyuan Liu', 'Samer Alabed', 'Venet Osmani', 'Andrew J. Swift', 'Chen Chen', 'Haiping Lu'] | ['cs.CV'] | Pathology and anatomy are two essential groups of semantics in medical data.
Pathology describes what the diseases are, while anatomy explains where the
diseases occur. They describe diseases from different perspectives, providing
complementary insights into diseases. Thus, properly understanding these
semantics and th... | 2024-03-15T19:03:29Z | null | null | null | MeDSLIP: Medical Dual-Stream Language-Image Pre-training with Pathology-Anatomy Semantic Alignment | ['Wenrui Fan', 'M. N. Suvon', 'Shuo Zhou', 'Xianyuan Liu', 'S. Alabed', 'V. Osmani', 'Andrew J Swift', 'Chen Chen', 'Haiping Lu'] | 2,024 | null | 0 | 36 | ['Computer Science'] |
2,403.10691 | MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual
Language Modeling | ['Tomasz Limisiewicz', 'Terra Blevins', 'Hila Gonen', 'Orevaoghene Ahia', 'Luke Zettlemoyer'] | ['cs.CL', 'cs.AI', 'cs.LG'] | A major consideration in multilingual language modeling is how to best
represent languages with diverse vocabularies and scripts. Although
contemporary text encoding methods cover most of the world's writing systems,
they exhibit bias towards the high-resource languages of the Global West. As a
result, texts of underre... | 2024-03-15T21:21:11Z | Published at ACL 2024 | null | 10.18653/v1/2024.acl-long.804 | null | null | null | null | null | null | null |
2,403.10854 | A Comprehensive Study of Multimodal Large Language Models for Image
Quality Assessment | ['Tianhe Wu', 'Kede Ma', 'Jie Liang', 'Yujiu Yang', 'Lei Zhang'] | ['cs.CV'] | While Multimodal Large Language Models (MLLMs) have experienced significant
advancement in visual understanding and reasoning, their potential to serve as
powerful, flexible, interpretable, and text-driven models for Image Quality
Assessment (IQA) remains largely unexplored. In this paper, we conduct a
comprehensive an... | 2024-03-16T08:30:45Z | null | null | null | null | null | null | null | null | null | null |
2,403.10882 | Optimizing Language Augmentation for Multilingual Large Language Models:
A Case Study on Korean | ['ChangSu Choi', 'Yongbin Jeong', 'Seoyoon Park', 'InHo Won', 'HyeonSeok Lim', 'SangMin Kim', 'Yejee Kang', 'Chanhyuk Yoon', 'Jaewan Park', 'Yiseul Lee', 'HyeJin Lee', 'Younggyun Hahm', 'Hansaem Kim', 'KyungTae Lim'] | ['cs.CL', 'cs.AI'] | Large language models (LLMs) use pretraining to predict the subsequent word;
however, their expansion requires significant computing resources. Numerous big
tech companies and research institutes have developed multilingual LLMs (MLLMs)
to meet current demands, overlooking less-resourced languages (LRLs). This
study pr... | 2024-03-16T10:26:38Z | null | null | null | null | null | null | null | null | null | null |
2,403.10912 | Automatic location detection based on deep learning | ['Anjali Karangiya', 'Anirudh Sharma', 'Divax Shah', 'Kartavya Badgujar', 'Chintan Thacker', 'Dainik Dave'] | ['cs.CV', 'cs.LG'] | The proliferation of digital images and the advancements in deep learning
have paved the way for innovative solutions in various domains, especially in
the field of image classification. Our project presents an in-depth study and
implementation of an image classification system specifically tailored to
identify and cla... | 2024-03-16T12:25:30Z | null | null | null | Automatic location detection based on deep learning | ['Anjali Karangiya', 'Anirudh Sharma', 'Divax Shah', 'Kartavya Badgujar', 'Dr. Chintan Thacker', 'Dainik Dave'] | 2,024 | arXiv.org | 0 | 23 | ['Computer Science'] |
2,403.1115 | Training A Small Emotional Vision Language Model for Visual Art
Comprehension | ['Jing Zhang', 'Liang Zheng', 'Meng Wang', 'Dan Guo'] | ['cs.CV'] | This paper develops small vision language models to understand visual art,
which, given an art work, aims to identify its emotion category and explain
this prediction with natural language. While small models are computationally
efficient, their capacity is much limited compared with large models. To break
this trade-o... | 2024-03-17T09:01:02Z | 16 pages | null | null | Training A Small Emotional Vision Language Model for Visual Art Comprehension | ['Jing Zhang', 'Liang Zheng', 'Dan Guo', 'Meng Wang'] | 2,024 | European Conference on Computer Vision | 4 | 41 | ['Computer Science'] |
2,403.1133 | Improving Dialogue Agents by Decomposing One Global Explicit Annotation
with Local Implicit Multimodal Feedback | ['Dong Won Lee', 'Hae Won Park', 'Yoon Kim', 'Cynthia Breazeal', 'Louis-Philippe Morency'] | ['cs.CL', 'cs.AI', 'cs.HC', 'cs.LG'] | We describe an approach for aligning an LLM-based dialogue agent based on
global (i.e., dialogue-level) rewards, while also taking into account
naturally-occurring multimodal signals. At a high level, our approach (dubbed
GELI) learns a local, turn-level reward model by decomposing the human-provided
Global Explicit (G... | 2024-03-17T20:21:26Z | 10 pages, 3 figures, 2 tables | null | null | null | null | null | null | null | null | null |
2,403.11399 | X-LLaVA: Optimizing Bilingual Large Vision-Language Alignment | ['Dongjae Shin', 'Hyeonseok Lim', 'Inho Won', 'Changsu Choi', 'Minjun Kim', 'Seungwoo Song', 'Hangyeol Yoo', 'Sangmin Kim', 'Kyungtae Lim'] | ['cs.CL'] | The impressive development of large language models (LLMs) is expanding into
the realm of large multimodal models (LMMs), which incorporate multiple types
of data beyond text. However, the nature of multimodal models leads to
significant expenses in the creation of training data. Furthermore,
constructing multilingual ... | 2024-03-18T01:14:47Z | null | https://aclanthology.org/2024.findings-naacl.158 | 10.18653/v1/2024.findings-naacl.158 | null | null | null | null | null | null | null |
2,403.11456 | HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive
Speech Detection via Large Language Models | ['Huy Nghiem', 'Hal Daumé III'] | ['cs.CL', 'cs.AI', 'cs.SI'] | The widespread use of social media necessitates reliable and efficient
detection of offensive content to mitigate harmful effects. Although
sophisticated models perform well on individual datasets, they often fail to
generalize due to varying definitions and labeling of "offensive content." In
this paper, we introduce ... | 2024-03-18T04:12:35Z | EMNLP 2024 Findings | null | null | null | null | null | null | null | null | null |
2,403.11482 | SeisFusion: Constrained Diffusion Model with Input Guidance for 3D
Seismic Data Interpolation and Reconstruction | ['Shuang Wang', 'Fei Deng', 'Peifan Jiang', 'Zishan Gong', 'Xiaolin Wei', 'Yuqing Wang'] | ['cs.LG', 'physics.geo-ph'] | Geographical, physical, or economic constraints often result in missing
traces within seismic data, making the reconstruction of complete seismic data
a crucial step in seismic data processing. Traditional methods for seismic data
reconstruction require the selection of multiple empirical parameters and
struggle to han... | 2024-03-18T05:10:13Z | in IEEE Transactions on Geoscience and Remote Sensing (2024) | null | 10.1109/TGRS.2024.3462414 | SeisFusion: Constrained Diffusion Model With Input Guidance for 3-D Seismic Data Interpolation and Reconstruction | ['Shuang Wang', 'Fei Deng', 'Peifan Jiang', 'Zishan Gong', 'Xiaolin Wei', 'Yuqing Wang'] | 2,024 | IEEE Transactions on Geoscience and Remote Sensing | 5 | 52 | ['Computer Science', 'Physics'] |
2,403.11614 | CRS-Diff: Controllable Remote Sensing Image Generation with Diffusion
Model | ['Datao Tang', 'Xiangyong Cao', 'Xingsong Hou', 'Zhongyuan Jiang', 'Junmin Liu', 'Deyu Meng'] | ['cs.CV'] | The emergence of generative models has revolutionized the field of remote
sensing (RS) image generation. Despite generating high-quality images, existing
methods are limited in relying mainly on text control conditions, and thus do
not always generate images accurately and stably. In this paper, we propose
CRS-Diff, a ... | 2024-03-18T09:44:44Z | null | null | null | null | null | null | null | null | null | null |
2,403.11641 | Arc2Face: A Foundation Model for ID-Consistent Human Faces | ['Foivos Paraperas Papantoniou', 'Alexandros Lattas', 'Stylianos Moschoglou', 'Jiankang Deng', 'Bernhard Kainz', 'Stefanos Zafeiriou'] | ['cs.CV'] | This paper presents Arc2Face, an identity-conditioned face foundation model,
which, given the ArcFace embedding of a person, can generate diverse
photo-realistic images with an unparalleled degree of face similarity than
existing models. Despite previous attempts to decode face recognition features
into detailed images... | 2024-03-18T10:32:51Z | ECCV 2024 (Oral), 29 pages, 20 figures. Project page:
https://arc2face.github.io/ | null | null | null | null | null | null | null | null | null |
2,403.11703 | LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images | ['Ruyi Xu', 'Yuan Yao', 'Zonghao Guo', 'Junbo Cui', 'Zanlin Ni', 'Chunjiang Ge', 'Tat-Seng Chua', 'Zhiyuan Liu', 'Maosong Sun', 'Gao Huang'] | ['cs.CV', 'cs.AI'] | Visual encoding constitutes the basis of large multimodal models (LMMs) in
understanding the visual world. Conventional LMMs process images in fixed sizes
and limited resolutions, while recent explorations in this direction are
limited in adaptivity, efficiency, and even correctness. In this work, we first
take GPT-4V ... | 2024-03-18T12:04:11Z | Preprint | null | null | null | null | null | null | null | null | null |
2,403.11996 | Accelerating Scientific Discovery with Generative Knowledge Extraction,
Graph-Based Representation, and Multimodal Intelligent Graph Reasoning | ['Markus J. Buehler'] | ['cs.LG', 'cond-mat.mes-hall', 'cond-mat.mtrl-sci', 'cond-mat.soft', 'cs.AI', 'cs.CL'] | Leveraging generative Artificial Intelligence (AI), we have transformed a
dataset comprising 1,000 scientific papers into an ontological knowledge graph.
Through an in-depth structural analysis, we have calculated node degrees,
identified communities and connectivities, and evaluated clustering
coefficients and between... | 2024-03-18T17:30:27Z | null | null | null | null | null | null | null | null | null | null |
2,403.12003 | GenView: Enhancing View Quality with Pretrained Generative Model for
Self-Supervised Learning | ['Xiaojie Li', 'Yibo Yang', 'Xiangtai Li', 'Jianlong Wu', 'Yue Yu', 'Bernard Ghanem', 'Min Zhang'] | ['cs.CV'] | Self-supervised learning has achieved remarkable success in acquiring
high-quality representations from unlabeled data. The widely adopted
contrastive learning framework aims to learn invariant representations by
minimizing the distance between positive views originating from the same image.
However, existing technique... | 2024-03-18T17:41:26Z | ECCV 2024 | null | null | null | null | null | null | null | null | null |
2,403.12008 | SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image
using Latent Video Diffusion | ['Vikram Voleti', 'Chun-Han Yao', 'Mark Boss', 'Adam Letts', 'David Pankratz', 'Dmitry Tochilkin', 'Christian Laforte', 'Robin Rombach', 'Varun Jampani'] | ['cs.CV'] | We present Stable Video 3D (SV3D) -- a latent video diffusion model for
high-resolution, image-to-multi-view generation of orbital videos around a 3D
object. Recent work on 3D generation propose techniques to adapt 2D generative
models for novel view synthesis (NVS) and 3D optimization. However, these
methods have seve... | 2024-03-18T17:46:06Z | Project page: https://sv3d.github.io/ | null | null | null | null | null | null | null | null | null |
2,403.12015 | Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion
Distillation | ['Axel Sauer', 'Frederic Boesel', 'Tim Dockhorn', 'Andreas Blattmann', 'Patrick Esser', 'Robin Rombach'] | ['cs.CV'] | Diffusion models are the main driver of progress in image and video
synthesis, but suffer from slow inference speed. Distillation methods, like the
recently introduced adversarial diffusion distillation (ADD) aim to shift the
model from many-shot to single-step inference, albeit at the cost of expensive
and difficult o... | 2024-03-18T17:51:43Z | null | null | null | null | null | null | null | null | null | null |
2,403.12017 | Supervised Fine-Tuning as Inverse Reinforcement Learning | ['Hao Sun'] | ['cs.LG', 'cs.AI', 'cs.CL'] | The prevailing approach to aligning Large Language Models (LLMs) typically
relies on human or AI feedback and assumes access to specific types of
preference datasets. In our work, we question the efficacy of such datasets and
explore various scenarios where alignment with expert demonstrations proves
more realistic. We... | 2024-03-18T17:52:57Z | null | null | null | null | null | null | null | null | null | null |
2,403.12019 | LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D
Generation | ['Yushi Lan', 'Fangzhou Hong', 'Shuai Yang', 'Shangchen Zhou', 'Xuyi Meng', 'Bo Dai', 'Xingang Pan', 'Chen Change Loy'] | ['cs.CV'] | The field of neural rendering has witnessed significant progress with
advancements in generative models and differentiable rendering techniques.
Though 2D diffusion has achieved success, a unified 3D diffusion pipeline
remains unsettled. This paper introduces a novel framework called LN3Diff to
address this gap and ena... | 2024-03-18T17:54:34Z | ECCV 2024 Camera ready version. project webpage:
https://nirvanalan.github.io/projects/ln3diff/ Code:
https://github.com/NIRVANALAN/LN3Diff | null | null | null | null | null | null | null | null | null |
2,403.12024 | Enhancing Taiwanese Hokkien Dual Translation by Exploring and
Standardizing of Four Writing Systems | ['Bo-Han Lu', 'Yi-Hsuan Lin', 'En-Shiun Annie Lee', 'Richard Tzong-Han Tsai'] | ['cs.CL'] | Machine translation focuses mainly on high-resource languages (HRLs), while
low-resource languages (LRLs) like Taiwanese Hokkien are relatively
under-explored. The study aims to address this gap by developing a dual
translation model between Taiwanese Hokkien and both Traditional Mandarin
Chinese and English. We employ... | 2024-03-18T17:56:13Z | Accepted by LREC-COLING 2024 as a long oral paper | null | null | Enhancing Taiwanese Hokkien Dual Translation by Exploring and Standardizing of Four Writing Systems | ['Bo-Han Lu', 'Yi-Hsuan Lin', 'En-Shiun Annie Lee', 'Richard Tzong-Han Tsai'] | 2,024 | International Conference on Language Resources and Evaluation | 0 | 32 | ['Computer Science'] |
2,403.12032 | Generic 3D Diffusion Adapter Using Controlled Multi-View Editing | ['Hansheng Chen', 'Ruoxi Shi', 'Yulin Liu', 'Bokui Shen', 'Jiayuan Gu', 'Gordon Wetzstein', 'Hao Su', 'Leonidas Guibas'] | ['cs.CV', 'cs.GR'] | Open-domain 3D object synthesis has been lagging behind image synthesis due
to limited data and higher computational complexity. To bridge this gap, recent
works have investigated multi-view diffusion but often fall short in either 3D
consistency, visual quality, or efficiency. This paper proposes MVEdit, which
functio... | 2024-03-18T17:59:09Z | V2 note: Fix missing acknowledgements. Project page:
https://lakonik.github.io/mvedit | null | null | Generic 3D Diffusion Adapter Using Controlled Multi-View Editing | ['Hansheng Chen', 'Ruoxi Shi', 'Yulin Liu', 'Bokui Shen', 'Jiayuan Gu', 'Gordon Wetzstein', 'Hao Su', 'Leonidas Guibas'] | 2,024 | arXiv.org | 22 | 69 | ['Computer Science'] |
2,403.12034 | VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion
Models | ['Junlin Han', 'Filippos Kokkinos', 'Philip Torr'] | ['cs.CV', 'cs.GR', 'cs.LG'] | This paper presents a novel method for building scalable 3D generative models
utilizing pre-trained video diffusion models. The primary obstacle in
developing foundation 3D generative models is the limited availability of 3D
data. Unlike images, texts, or videos, 3D data are not readily accessible and
are difficult to ... | 2024-03-18T17:59:12Z | ECCV 2024. Project page:
https://junlinhan.github.io/projects/vfusion3d.html | null | null | null | null | null | null | null | null | null |
2,403.12036 | One-Step Image Translation with Text-to-Image Models | ['Gaurav Parmar', 'Taesung Park', 'Srinivasa Narasimhan', 'Jun-Yan Zhu'] | ['cs.CV', 'cs.GR', 'cs.LG'] | In this work, we address two limitations of existing conditional diffusion
models: their slow inference speed due to the iterative denoising process and
their reliance on paired data for model fine-tuning. To tackle these issues, we
introduce a general method for adapting a single-step diffusion model to new
tasks and ... | 2024-03-18T17:59:40Z | Github: https://github.com/GaParmar/img2img-turbo | null | null | One-Step Image Translation with Text-to-Image Models | ['Gaurav Parmar', 'Taesung Park', 'Srinivasa Narasimhan', 'Jun-Yan Zhu'] | 2,024 | arXiv.org | 57 | 79 | ['Computer Science'] |
2,403.12037 | MineDreamer: Learning to Follow Instructions via Chain-of-Imagination
for Simulated-World Control | ['Enshen Zhou', 'Yiran Qin', 'Zhenfei Yin', 'Yuzhou Huang', 'Ruimao Zhang', 'Lu Sheng', 'Yu Qiao', 'Jing Shao'] | ['cs.CV'] | It is a long-lasting goal to design a generalist-embodied agent that can
follow diverse instructions in human-like ways. However, existing approaches
often fail to steadily follow instructions due to difficulties in understanding
abstract and sequential natural language instructions. To this end, we
introduce MineDream... | 2024-03-18T17:59:42Z | Project page: https://sites.google.com/view/minedreamer/main | null | null | MineDreamer: Learning to Follow Instructions via Chain-of-Imagination for Simulated-World Control | ['Enshen Zhou', 'Yiran Qin', 'Zhen-fei Yin', 'Yuzhou Huang', 'Ruimao Zhang', 'Lu Sheng', 'Yu Qiao', 'Jing Shao'] | 2,024 | arXiv.org | 36 | 80 | ['Computer Science'] |
2,403.12042 | Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video
Object Segmentation | ['Zixin Zhu', 'Xuelu Feng', 'Dongdong Chen', 'Junsong Yuan', 'Chunming Qiao', 'Gang Hua'] | ['cs.CV'] | In this paper, we explore the visual representations produced from a
pre-trained text-to-video (T2V) diffusion model for video understanding tasks.
We hypothesize that the latent representation learned from a pretrained
generative T2V model encapsulates rich semantics and coherent temporal
correspondences, thereby natu... | 2024-03-18T17:59:58Z | Appear at ECCV 2024, and the code is available at
https://github.com/buxiangzhiren/VD-IT | null | null | null | null | null | null | null | null | null |
2,403.12392 | AraPoemBERT: A Pretrained Language Model for Arabic Poetry Analysis | ['Faisal Qarah'] | ['cs.CL', 'cs.AI'] | Arabic poetry, with its rich linguistic features and profound cultural
significance, presents a unique challenge to the Natural Language Processing
(NLP) field. The complexity of its structure and context necessitates advanced
computational models for accurate analysis. In this paper, we introduce
AraPoemBERT, an Arabi... | 2024-03-19T02:59:58Z | 28 pages, 11 figures, not published yet | null | null | AraPoemBERT: A Pretrained Language Model for Arabic Poetry Analysis | ['Faisal Qarah'] | 2,024 | arXiv.org | 4 | 37 | ['Computer Science'] |
2,403.12544 | AffineQuant: Affine Transformation Quantization for Large Language
Models | ['Yuexiao Ma', 'Huixia Li', 'Xiawu Zheng', 'Feng Ling', 'Xuefeng Xiao', 'Rui Wang', 'Shilei Wen', 'Fei Chao', 'Rongrong Ji'] | ['cs.LG'] | The significant resource requirements associated with Large-scale Language
Models (LLMs) have generated considerable interest in the development of
techniques aimed at compressing and accelerating neural networks. Among these
techniques, Post-Training Quantization (PTQ) has emerged as a subject of
considerable interest... | 2024-03-19T08:40:21Z | ICLR 2024 | null | null | AffineQuant: Affine Transformation Quantization for Large Language Models | ['Yuexiao Ma', 'Huixia Li', 'Xiawu Zheng', 'Feng Ling', 'Xuefeng Xiao', 'Rui Wang', 'Shilei Wen', 'Fei Chao', 'Rongrong Ji'] | 2,024 | International Conference on Learning Representations | 28 | 36 | ['Computer Science'] |
2,403.12627 | Enhancing Formal Theorem Proving: A Comprehensive Dataset for Training
AI Models on Coq Code | ['Andreas Florath'] | ['cs.AI', 'cs.LO'] | In the realm of formal theorem proving, the Coq proof assistant stands out
for its rigorous approach to verifying mathematical assertions and software
correctness. Despite the advances in artificial intelligence and machine
learning, the specialized nature of Coq syntax and semantics poses unique
challenges for Large L... | 2024-03-19T10:53:40Z | 11 pages | null | null | null | null | null | null | null | null | null |
2,403.12706 | AnimateDiff-Lightning: Cross-Model Diffusion Distillation | ['Shanchuan Lin', 'Xiao Yang'] | ['cs.CV', 'cs.AI'] | We present AnimateDiff-Lightning for lightning-fast video generation. Our
model uses progressive adversarial diffusion distillation to achieve new
state-of-the-art in few-step video generation. We discuss our modifications to
adapt it for the video modality. Furthermore, we propose to simultaneously
distill the probabi... | 2024-03-19T13:08:54Z | null | null | null | null | null | null | null | null | null | null |
2,403.12749 | Sebastian, Basti, Wastl?! Recognizing Named Entities in Bavarian
Dialectal Data | ['Siyao Peng', 'Zihang Sun', 'Huangyan Shan', 'Marie Kolm', 'Verena Blaschke', 'Ekaterina Artemova', 'Barbara Plank'] | ['cs.CL'] | Named Entity Recognition (NER) is a fundamental task to extract key
information from texts, but annotated resources are scarce for dialects. This
paper introduces the first dialectal NER dataset for German, BarNER, with 161K
tokens annotated on Bavarian Wikipedia articles (bar-wiki) and tweets
(bar-tweet), using a sche... | 2024-03-19T14:12:54Z | LREC-COLING 2024 | null | null | Sebastian, Basti, Wastl?! Recognizing Named Entities in Bavarian Dialectal Data | ['Siyao Peng', 'Zihang Sun', 'Huangyan Shan', 'Marie Kolm', 'Verena Blaschke', 'Ekaterina Artemova', 'Barbara Plank'] | 2,024 | International Conference on Language Resources and Evaluation | 3 | 74 | ['Computer Science'] |
2,403.12761 | BTGenBot: Behavior Tree Generation for Robotic Tasks with Lightweight
LLMs | ['Riccardo Andrea Izzo', 'Gianluca Bardaro', 'Matteo Matteucci'] | ['cs.RO'] | This paper presents a novel approach to generating behavior trees for robots
using lightweight large language models (LLMs) with a maximum of 7 billion
parameters. The study demonstrates that it is possible to achieve satisfying
results with compact LLMs when fine-tuned on a specific dataset. The key
contributions of t... | 2024-03-19T14:27:31Z | null | null | 10.1109/IROS58592.2024.10802304 | null | null | null | null | null | null | null |
2,403.12778 | ViTGaze: Gaze Following with Interaction Features in Vision Transformers | ['Yuehao Song', 'Xinggang Wang', 'Jingfeng Yao', 'Wenyu Liu', 'Jinglin Zhang', 'Xiangmin Xu'] | ['cs.CV'] | Gaze following aims to interpret human-scene interactions by predicting the
person's focal point of gaze. Prevailing approaches often adopt a two-stage
framework, whereby multi-modality information is extracted in the initial stage
for gaze target prediction. Consequently, the efficacy of these methods highly
depends o... | 2024-03-19T14:45:17Z | 15 pages; Accepted by Visual Intelligence | Visual Intelligence, 2024, Vol. 2, article no. 31 | null | ViTGaze: Gaze Following with Interaction Features in Vision Transformers | ['Yuehao Song', 'Xinggang Wang', 'Jingfeng Yao', 'Wenyu Liu', 'Jinglin Zhang', 'Xiangmin Xu'] | 2,024 | Vis. Intell. | 3 | 54 | ['Computer Science'] |
2,403.12881 | Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for
Large Language Models | ['Zehui Chen', 'Kuikun Liu', 'Qiuchen Wang', 'Wenwei Zhang', 'Jiangning Liu', 'Dahua Lin', 'Kai Chen', 'Feng Zhao'] | ['cs.CL'] | Open-sourced Large Language Models (LLMs) have achieved great success in
various NLP tasks, however, they are still far inferior to API-based models
when acting as agents. How to integrate agent ability into general LLMs becomes
a crucial and urgent problem. This paper first delivers three key observations:
(1) the cur... | 2024-03-19T16:26:10Z | Technical Report | null | null | Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models | ['Zehui Chen', 'Kuikun Liu', 'Qiuchen Wang', 'Wenwei Zhang', 'Jiangning Liu', 'Dahua Lin', 'Kai Chen', 'Feng Zhao'] | 2,024 | Annual Meeting of the Association for Computational Linguistics | 35 | 57 | ['Computer Science'] |
2,403.12931 | You Only Sample Once: Taming One-Step Text-to-Image Synthesis by
Self-Cooperative Diffusion GANs | ['Yihong Luo', 'Xiaolong Chen', 'Xinghua Qu', 'Tianyang Hu', 'Jing Tang'] | ['cs.CV'] | Recently, some works have tried to combine diffusion and Generative
Adversarial Networks (GANs) to alleviate the computational cost of the
iterative denoising inference in Diffusion Models (DMs). However, existing
works in this line suffer from either training instability and mode collapse or
subpar one-step generation... | 2024-03-19T17:34:27Z | ICLR 2025 | null | null | null | null | null | null | null | null | null |
2,403.12957 | GVGEN: Text-to-3D Generation with Volumetric Representation | ['Xianglong He', 'Junyi Chen', 'Sida Peng', 'Di Huang', 'Yangguang Li', 'Xiaoshui Huang', 'Chun Yuan', 'Wanli Ouyang', 'Tong He'] | ['cs.CV'] | In recent years, 3D Gaussian splatting has emerged as a powerful technique
for 3D reconstruction and generation, known for its fast and high-quality
rendering capabilities. To address these shortcomings, this paper introduces a
novel diffusion-based framework, GVGEN, designed to efficiently generate 3D
Gaussian represe... | 2024-03-19T17:57:52Z | ECCV 2024 | null | null | null | null | null | null | null | null | null |
2,403.12959 | WHAC: World-grounded Humans and Cameras | ['Wanqi Yin', 'Zhongang Cai', 'Ruisi Wang', 'Fanzhou Wang', 'Chen Wei', 'Haiyi Mei', 'Weiye Xiao', 'Zhitao Yang', 'Qingping Sun', 'Atsushi Yamashita', 'Ziwei Liu', 'Lei Yang'] | ['cs.CV', 'cs.AI', 'cs.GR', 'cs.LG', 'cs.RO'] | Estimating human and camera trajectories with accurate scale in the world
coordinate system from a monocular video is a highly desirable yet challenging
and ill-posed problem. In this study, we aim to recover expressive parametric
human models (i.e., SMPL-X) and corresponding camera poses jointly, by
leveraging the syn... | 2024-03-19T17:58:02Z | Homepage: https://wqyin.github.io/projects/WHAC/ | null | null | WHAC: World-grounded Humans and Cameras | ['Wanqi Yin', 'Zhongang Cai', 'Ruisi Wang', 'Fanzhou Wang', 'Chen Wei', 'Haiyi Mei', 'Weiye Xiao', 'Zhitao Yang', 'Qingping Sun', 'Atsushi Yamashita', 'Ziwei Liu', 'Lei Yang'] | 2,024 | European Conference on Computer Vision | 13 | 51 | ['Computer Science'] |
2,403.1296 | FaceXFormer: A Unified Transformer for Facial Analysis | ['Kartik Narayan', 'Vibashan VS', 'Rama Chellappa', 'Vishal M. Patel'] | ['cs.CV'] | In this work, we introduce FaceXFormer, an end-to-end unified transformer
model capable of performing ten facial analysis tasks within a single
framework. These tasks include face parsing, landmark detection, head pose
estimation, attribute prediction, age, gender, and race estimation, facial
expression recognition, fa... | 2024-03-19T17:58:04Z | Project page: https://kartik-3004.github.io/facexformer/ | null | null | null | null | null | null | null | null | null |
2,403.12968 | LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic
Prompt Compression | ['Zhuoshi Pan', 'Qianhui Wu', 'Huiqiang Jiang', 'Menglin Xia', 'Xufang Luo', 'Jue Zhang', 'Qingwei Lin', 'Victor Rühle', 'Yuqing Yang', 'Chin-Yew Lin', 'H. Vicky Zhao', 'Lili Qiu', 'Dongmei Zhang'] | ['cs.CL', 'cs.LG'] | This paper focuses on task-agnostic prompt compression for better
generalizability and efficiency. Considering the redundancy in natural
language, existing approaches compress prompts by removing tokens or lexical
units according to their information entropy obtained from a causal language
model such as LLaMa-7B. The c... | 2024-03-19T17:59:56Z | Accepted at Findings of ACL 2024 | null | null | null | null | null | null | null | null | null |
2,403.12984 | When SMILES have Language: Drug Classification using Text Classification
Methods on Drug SMILES Strings | ['Azmine Toushik Wasi', 'Šerbetar Karlo', 'Raima Islam', 'Taki Hasan Rafi', 'Dong-Kyu Chae'] | ['q-bio.BM', 'cs.CL', 'cs.IR', 'cs.LG', 'stat.ML'] | Complex chemical structures, like drugs, are usually defined by SMILES
strings as a sequence of molecules and bonds. These SMILES strings are used in
different complex machine learning-based drug-related research and
representation works. Escaping from complex representation, in this work, we
pose a single question: Wh... | 2024-03-03T11:09:32Z | 7 pages, 2 figures, 5 tables, Accepted (invited to present) to the
The Second Tiny Papers Track at ICLR 2024
(https://openreview.net/forum?id=VUYCyH8fCw) | The Second Tiny Papers Track at {ICLR} 2024, Tiny Papers @ {ICLR}
2024, Vienna Austria, May 11, 2024 | null | When SMILES have Language: Drug Classification using Text Classification Methods on Drug SMILES Strings | ['Azmine Toushik Wasi', 'vSerbetar Karlo', 'Raima Islam', 'Taki Hasan Rafi', 'Dong-Kyu Chae'] | 2,024 | Tiny Papers @ ICLR | 1 | 15 | ['Biology', 'Computer Science', 'Mathematics'] |
2,403.13031 | RigorLLM: Resilient Guardrails for Large Language Models against
Undesired Content | ['Zhuowen Yuan', 'Zidi Xiong', 'Yi Zeng', 'Ning Yu', 'Ruoxi Jia', 'Dawn Song', 'Bo Li'] | ['cs.CR', 'cs.AI', 'cs.CL', 'cs.LG'] | Recent advancements in Large Language Models (LLMs) have showcased remarkable
capabilities across various tasks in different domains. However, the emergence
of biases and the potential for generating harmful content in LLMs,
particularly under malicious inputs, pose significant challenges. Current
mitigation strategies... | 2024-03-19T07:25:02Z | null | null | null | null | null | null | null | null | null | null |
2,403.13043 | When Do We Not Need Larger Vision Models? | ['Baifeng Shi', 'Ziyang Wu', 'Maolin Mao', 'Xin Wang', 'Trevor Darrell'] | ['cs.CV'] | Scaling up the size of vision models has been the de facto standard to obtain
more powerful visual representations. In this work, we discuss the point beyond
which larger vision models are not necessary. First, we demonstrate the power
of Scaling on Scales (S$^2$), whereby a pre-trained and frozen smaller vision
model ... | 2024-03-19T17:58:39Z | Code: https://github.com/bfshi/scaling_on_scales | null | null | null | null | null | null | null | null | null |
2,403.13187 | Evolutionary Optimization of Model Merging Recipes | ['Takuya Akiba', 'Makoto Shing', 'Yujin Tang', 'Qi Sun', 'David Ha'] | ['cs.NE'] | Large language models (LLMs) have become increasingly capable, but their
development often requires substantial computational resources. While model
merging has emerged as a cost-effective promising approach for creating new
models by combining existing ones, it currently relies on human intuition and
domain knowledge,... | 2024-03-19T22:56:53Z | Authors' submitted version before final edits. Published in Nature
Machine Intelligence on January 27, 2025:
https://www.nature.com/articles/s42256-024-00975-8 | Nat Mach Intell (2025) | 10.1038/s42256-024-00975-8 | null | null | null | null | null | null | null |
2,403.1325 | Facilitating Pornographic Text Detection for Open-Domain Dialogue
Systems via Knowledge Distillation of Large Language Models | ['Huachuan Qiu', 'Shuai Zhang', 'Hongliang He', 'Anqi Li', 'Zhenzhong Lan'] | ['cs.CL'] | Pornographic content occurring in human-machine interaction dialogues can
cause severe side effects for users in open-domain dialogue systems. However,
research on detecting pornographic language within human-machine interaction
dialogues is an important subject that is rarely studied. To advance in this
direction, we ... | 2024-03-20T02:29:09Z | Accepted to CSCWD 2024 (27th International Conference on Computer
Supported Cooperative Work in Design). arXiv admin note: text overlap with
arXiv:2309.09749 | null | null | null | null | null | null | null | null | null |
2,403.13257 | Arcee's MergeKit: A Toolkit for Merging Large Language Models | ['Charles Goddard', 'Shamane Siriwardhana', 'Malikeh Ehghaghi', 'Luke Meyers', 'Vlad Karpukhin', 'Brian Benedict', 'Mark McQuade', 'Jacob Solawetz'] | ['cs.CL', 'cs.AI', 'cs.LG'] | The rapid expansion of the open-source language model landscape presents an
opportunity to merge the competencies of these model checkpoints by combining
their parameters. Advances in transfer learning, the process of fine-tuning
pretrained models for specific tasks, has resulted in the development of vast
amounts of t... | 2024-03-20T02:38:01Z | 11 pages, 4 figures | null | null | Arcee’s MergeKit: A Toolkit for Merging Large Language Models | ['Charles Goddard', 'Shamane Siriwardhana', 'Malikeh Ehghaghi', 'Luke Meyers', 'Vladimir Karpukhin', 'Brian Benedict', 'Mark McQuade', 'Jacob Solawetz'] | 2,024 | Conference on Empirical Methods in Natural Language Processing | 103 | 58 | ['Computer Science'] |
2,403.13298 | Rotary Position Embedding for Vision Transformer | ['Byeongho Heo', 'Song Park', 'Dongyoon Han', 'Sangdoo Yun'] | ['cs.CV', 'cs.LG'] | Rotary Position Embedding (RoPE) performs remarkably on language models,
especially for length extrapolation of Transformers. However, the impacts of
RoPE on computer vision domains have been underexplored, even though RoPE
appears capable of enhancing Vision Transformer (ViT) performance in a way
similar to the langua... | 2024-03-20T04:47:13Z | Accepted to ECCV 2024 | null | null | null | null | null | null | null | null | null |
2,403.13334 | Hyacinth6B: A large language model for Traditional Chinese | ['Chih-Wei Song', 'Yin-Te Tsai'] | ['cs.CL', 'cs.AI'] | This research's primary motivation of this study is to address the high
hardware and computational demands typically associated with LLMs.Therefore,our
goal is to find a balance between model lightness and performance,striving to
maximize performance while using a comparatively lightweight model. Hyacinth6B
was develop... | 2024-03-20T06:37:59Z | 14pages | null | null | null | null | null | null | null | null | null |
2,403.13355 | BadEdit: Backdooring large language models by model editing | ['Yanzhou Li', 'Tianlin Li', 'Kangjie Chen', 'Jian Zhang', 'Shangqing Liu', 'Wenhan Wang', 'Tianwei Zhang', 'Yang Liu'] | ['cs.CR', 'cs.AI'] | Mainstream backdoor attack methods typically demand substantial tuning data
for poisoning, limiting their practicality and potentially degrading the
overall performance when applied to Large Language Models (LLMs). To address
these issues, for the first time, we formulate backdoor injection as a
lightweight knowledge e... | 2024-03-20T07:34:18Z | ICLR 2024 | null | null | null | null | null | null | null | null | null |
2,403.13372 | LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models | ['Yaowei Zheng', 'Richong Zhang', 'Junhao Zhang', 'Yanhan Ye', 'Zheyan Luo', 'Zhangchi Feng', 'Yongqiang Ma'] | ['cs.CL', 'cs.AI'] | Efficient fine-tuning is vital for adapting large language models (LLMs) to
downstream tasks. However, it requires non-trivial efforts to implement these
methods on different models. We present LlamaFactory, a unified framework that
integrates a suite of cutting-edge efficient training methods. It provides a
solution f... | 2024-03-20T08:08:54Z | 13 pages, accepted to ACL 2024 System Demonstration Track | null | null | LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models | ['Yaowei Zheng', 'Richong Zhang', 'Junhao Zhang', 'Yanhan Ye', 'Zheyan Luo', 'Yongqiang Ma'] | 2,024 | Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) | 560 | 95 | ['Computer Science'] |
2,403.13592 | Llama meets EU: Investigating the European Political Spectrum through
the Lens of LLMs | ['Ilias Chalkidis', 'Stephanie Brandl'] | ['cs.CL'] | Instruction-finetuned Large Language Models inherit clear political leanings
that have been shown to influence downstream task performance. We expand this
line of research beyond the two-party system in the US and audit Llama Chat in
the context of EU politics in various settings to analyze the model's political
knowle... | 2024-03-20T13:42:57Z | accepted to NAACL 2024 as a short paper | null | null | null | null | null | null | null | null | null |
2,403.13684 | SPTNet: An Efficient Alternative Framework for Generalized Category
Discovery with Spatial Prompt Tuning | ['Hongjun Wang', 'Sagar Vaze', 'Kai Han'] | ['cs.CV', 'cs.AI'] | Generalized Category Discovery (GCD) aims to classify unlabelled images from
both `seen' and `unseen' classes by transferring knowledge from a set of
labelled `seen' class images. A key theme in existing GCD approaches is
adapting large-scale pre-trained models for the GCD task. An alternate
perspective, however, is to... | 2024-03-20T15:41:39Z | v3: Fix bold typos in table 2 and 3; v2: Update DINOv2 results;
Accepted as a conference paper at ICLR 2024; Project page:
https://visual-ai.github.io/sptnet | null | null | SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning | ['Hongjun Wang', 'S. Vaze', 'Kai Han'] | 2,024 | International Conference on Learning Representations | 23 | 0 | ['Computer Science'] |
2,403.13737 | EthioLLM: Multilingual Large Language Models for Ethiopian Languages
with Task Evaluation | ['Atnafu Lambebo Tonja', 'Israel Abebe Azime', 'Tadesse Destaw Belay', 'Mesay Gemeda Yigezu', 'Moges Ahmed Mehamed', 'Abinew Ali Ayele', 'Ebrahim Chekol Jibril', 'Michael Melese Woldeyohannis', 'Olga Kolesnikova', 'Philipp Slusallek', 'Dietrich Klakow', 'Shengwu Xiong', 'Seid Muhie Yimam'] | ['cs.CL'] | Large language models (LLMs) have gained popularity recently due to their
outstanding performance in various downstream Natural Language Processing (NLP)
tasks. However, low-resource languages are still lagging behind current
state-of-the-art (SOTA) developments in the field of NLP due to insufficient
resources to trai... | 2024-03-20T16:43:42Z | Accepted at LREC-Coling 2024 | null | null | EthioLLM: Multilingual Large Language Models for Ethiopian Languages with Task Evaluation | ['A. Tonja', 'Israel Abebe Azime', 'Tadesse Destaw Belay', 'M. Yigezu', 'Moges Ahmed Mehamed', 'A. Ayele', 'Ebrahim Chekol Jibril', 'Michael Melese Woldeyohannis', 'Olga Kolesnikova', 'Philipp Slusallek', 'D. Klakow', 'Shengwu Xiong', 'Seid Muhie Yimam'] | 2,024 | International Conference on Language Resources and Evaluation | 8 | 72 | ['Computer Science'] |
2,403.13787 | RewardBench: Evaluating Reward Models for Language Modeling | ['Nathan Lambert', 'Valentina Pyatkin', 'Jacob Morrison', 'LJ Miranda', 'Bill Yuchen Lin', 'Khyathi Chandu', 'Nouha Dziri', 'Sachin Kumar', 'Tom Zick', 'Yejin Choi', 'Noah A. Smith', 'Hannaneh Hajishirzi'] | ['cs.LG'] | Reward models (RMs) are at the crux of successfully using RLHF to align
pretrained models to human preferences, yet there has been relatively little
study that focuses on evaluation of those models. Evaluating reward models
presents an opportunity to understand the opaque technologies used for
alignment of language mod... | 2024-03-20T17:49:54Z | 44 pages, 19 figures, 12 tables | null | null | RewardBench: Evaluating Reward Models for Language Modeling | ['Nathan Lambert', 'Valentina Pyatkin', 'Jacob Daniel Morrison', 'Lester James Validad Miranda', 'Bill Yuchen Lin', 'Khyathi Raghavi Chandu', 'Nouha Dziri', 'Sachin Kumar', 'Tom Zick', 'Yejin Choi', 'Noah A. Smith', 'Hanna Hajishirzi'] | 2,024 | arXiv.org | 260 | 73 | ['Computer Science'] |
2,403.13793 | Evaluating Frontier Models for Dangerous Capabilities | ['Mary Phuong', 'Matthew Aitchison', 'Elliot Catt', 'Sarah Cogan', 'Alexandre Kaskasoli', 'Victoria Krakovna', 'David Lindner', 'Matthew Rahtz', 'Yannis Assael', 'Sarah Hodkinson', 'Heidi Howard', 'Tom Lieberum', 'Ramana Kumar', 'Maria Abi Raad', 'Albert Webson', 'Lewis Ho', 'Sharon Lin', 'Sebastian Farquhar', 'Marcus ... | ['cs.LG'] | To understand the risks posed by a new AI system, we must understand what it
can and cannot do. Building on prior work, we introduce a programme of new
"dangerous capability" evaluations and pilot them on Gemini 1.0 models. Our
evaluations cover four areas: (1) persuasion and deception; (2) cyber-security;
(3) self-pro... | 2024-03-20T17:54:26Z | null | null | null | Evaluating Frontier Models for Dangerous Capabilities | ['Mary Phuong', 'Matthew Aitchison', 'Elliot Catt', 'Sarah Cogan', 'Alex Kaskasoli', 'Victoria Krakovna', 'David Lindner', 'Matthew Rahtz', 'Yannis Assael', 'Sarah Hodkinson', 'Heidi Howard', 'Tom Lieberum', 'Ramana Kumar', 'Maria Abi Raad', 'Albert Webson', 'Lewis Ho', 'Sharon Lin', 'Sebastian Farquhar', 'Marcus Hutte... | 2,024 | arXiv.org | 75 | 0 | ['Computer Science'] |
2,403.13802 | ZigMa: A DiT-style Zigzag Mamba Diffusion Model | ['Vincent Tao Hu', 'Stefan Andreas Baumann', 'Ming Gui', 'Olga Grebenkova', 'Pingchuan Ma', 'Johannes Schusterbauer', 'Björn Ommer'] | ['cs.CV', 'cs.AI', 'cs.CL', 'cs.LG'] | The diffusion model has long been plagued by scalability and quadratic
complexity issues, especially within transformer-based structures. In this
study, we aim to leverage the long sequence modeling capability of a
State-Space Model called Mamba to extend its applicability to visual data
generation. Firstly, we identif... | 2024-03-20T17:59:14Z | ECCV 2024 Project Page: https://taohu.me/zigma/ | null | null | null | null | null | null | null | null | null |
2,403.14009 | A New Massive Multilingual Dataset for High-Performance Language
Technologies | ['Ona de Gibert', 'Graeme Nail', 'Nikolay Arefyev', 'Marta Bañón', 'Jelmer van der Linde', 'Shaoxiong Ji', 'Jaume Zaragoza-Bernabeu', 'Mikko Aulamo', 'Gema Ramírez-Sánchez', 'Andrey Kutuzov', 'Sampo Pyysalo', 'Stephan Oepen', 'Jörg Tiedemann'] | ['cs.CL'] | We present the HPLT (High Performance Language Technologies) language
resources, a new massive multilingual dataset including both monolingual and
bilingual corpora extracted from CommonCrawl and previously unused web crawls
from the Internet Archive. We describe our methods for data acquisition,
management and process... | 2024-03-20T22:14:39Z | LREC-COLING 2024 | null | null | null | null | null | null | null | null | null |
2,403.14472 | Detoxifying Large Language Models via Knowledge Editing | ['Mengru Wang', 'Ningyu Zhang', 'Ziwen Xu', 'Zekun Xi', 'Shumin Deng', 'Yunzhi Yao', 'Qishen Zhang', 'Linyi Yang', 'Jindong Wang', 'Huajun Chen'] | ['cs.CL', 'cs.AI', 'cs.CV', 'cs.HC', 'cs.LG'] | This paper investigates using knowledge editing techniques to detoxify Large
Language Models (LLMs). We construct a benchmark, SafeEdit, which covers nine
unsafe categories with various powerful attack prompts and equips comprehensive
metrics for systematic evaluation. We conduct experiments with several
knowledge edit... | 2024-03-21T15:18:30Z | ACL 2024. Project website: https://zjunlp.github.io/project/SafeEdit
Benchmark: https://huggingface.co/datasets/zjunlp/SafeEdit | null | null | null | null | null | null | null | null | null |
2,403.14487 | DesignEdit: Multi-Layered Latent Decomposition and Fusion for Unified &
Accurate Image Editing | ['Yueru Jia', 'Yuhui Yuan', 'Aosong Cheng', 'Chuke Wang', 'Ji Li', 'Huizhu Jia', 'Shanghang Zhang'] | ['cs.CV'] | Recently, how to achieve precise image editing has attracted increasing
attention, especially given the remarkable success of text-to-image generation
models. To unify various spatial-aware image editing abilities into one
framework, we adopt the concept of layers from the design domain to manipulate
objects flexibly w... | 2024-03-21T15:35:42Z | technical report, 15 pages, webpage: https://design-edit.github.io/ | null | null | DesignEdit: Multi-Layered Latent Decomposition and Fusion for Unified & Accurate Image Editing | ['Yueru Jia', 'Yuhui Yuan', 'Aosong Cheng', 'Chuke Wang', 'Ji Li', 'Huizhu Jia', 'Shanghang Zhang'] | 2,024 | arXiv.org | 8 | 36 | ['Computer Science'] |
2,403.1452 | Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient
Inference | ['Han Zhao', 'Min Zhang', 'Wei Zhao', 'Pengxiang Ding', 'Siteng Huang', 'Donglin Wang'] | ['cs.CV'] | In recent years, the application of multimodal large language models (MLLM)
in various fields has achieved remarkable success. However, as the foundation
model for many downstream tasks, current MLLMs are composed of the well-known
Transformer network, which has a less efficient quadratic computation
complexity. To imp... | 2024-03-21T16:17:57Z | Accepted to the Thirty-Ninth AAAI Conference on Artificial
Intelligence (AAAI-25) | null | null | null | null | null | null | null | null | null |
2,403.14541 | EDT: Improving Large Language Models' Generation by Entropy-based
Dynamic Temperature Sampling | ['Shimao Zhang', 'Yu Bao', 'Shujian Huang'] | ['cs.CL'] | Recently, Large Language Models (LLMs) have demonstrated outstanding
performance across a wide range of downstream language tasks. Temperature
sampling is a commonly used decoding strategy for LLMs' generation process.
However, a fixed temperature parameter is used in most cases, which may not
always be an optimal choi... | 2024-03-21T16:41:12Z | null | null | null | null | null | null | null | null | null | null |
2,403.14599 | MyVLM: Personalizing VLMs for User-Specific Queries | ['Yuval Alaluf', 'Elad Richardson', 'Sergey Tulyakov', 'Kfir Aberman', 'Daniel Cohen-Or'] | ['cs.CV'] | Recent large-scale vision-language models (VLMs) have demonstrated remarkable
capabilities in understanding and generating textual descriptions for visual
content. However, these models lack an understanding of user-specific concepts.
In this work, we take a first step toward the personalization of VLMs, enabling
them ... | 2024-03-21T17:51:01Z | Project page: https://snap-research.github.io/MyVLM/ | null | null | null | null | null | null | null | null | null |
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