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2,311.08046 | Chat-UniVi: Unified Visual Representation Empowers Large Language Models
with Image and Video Understanding | ['Peng Jin', 'Ryuichi Takanobu', 'Wancai Zhang', 'Xiaochun Cao', 'Li Yuan'] | ['cs.CV'] | Large language models have demonstrated impressive universal capabilities
across a wide range of open-ended tasks and have extended their utility to
encompass multimodal conversations. However, existing methods encounter
challenges in effectively handling both image and video understanding,
particularly with limited vi... | 2023-11-14T10:11:36Z | Accepted by CVPR 2024 (Highlight) | null | null | null | null | null | null | null | null | null |
2,311.08105 | DiLoCo: Distributed Low-Communication Training of Language Models | ['Arthur Douillard', 'Qixuan Feng', 'Andrei A. Rusu', 'Rachita Chhaparia', 'Yani Donchev', 'Adhiguna Kuncoro', "Marc'Aurelio Ranzato", 'Arthur Szlam', 'Jiajun Shen'] | ['cs.LG', 'cs.CL'] | Large language models (LLM) have become a critical component in many
applications of machine learning. However, standard approaches to training LLM
require a large number of tightly interconnected accelerators, with devices
exchanging gradients and other intermediate states at each optimization step.
While it is diffic... | 2023-11-14T12:05:45Z | null | null | null | null | null | null | null | null | null | null |
2,311.08348 | MC$^2$: Towards Transparent and Culturally-Aware NLP for Minority
Languages in China | ['Chen Zhang', 'Mingxu Tao', 'Quzhe Huang', 'Jiuheng Lin', 'Zhibin Chen', 'Yansong Feng'] | ['cs.CL'] | Current large language models demonstrate deficiencies in understanding
low-resource languages, particularly the minority languages in China. This
limitation stems from the scarcity of available pre-training data. To address
this accessibility challenge, we present MC$^2$, a Multilingual Corpus of
Minority Languages in... | 2023-11-14T17:45:50Z | ACL 2024 https://github.com/luciusssss/mc2_corpus | null | null | null | null | null | null | null | null | null |
2,311.08355 | Mustango: Toward Controllable Text-to-Music Generation | ['Jan Melechovsky', 'Zixun Guo', 'Deepanway Ghosal', 'Navonil Majumder', 'Dorien Herremans', 'Soujanya Poria'] | ['eess.AS'] | The quality of the text-to-music models has reached new heights due to recent
advancements in diffusion models. The controllability of various musical
aspects, however, has barely been explored. In this paper, we propose Mustango:
a music-domain-knowledge-inspired text-to-music system based on diffusion.
Mustango aims ... | 2023-11-14T17:54:38Z | NAACL 2024 | Proceedings of the 2024 Conference of the North American Chapter
of the Association for Computational Linguistics: Human Language Technologies
(NAACL) (Volume 1: Long Papers) | null | null | null | null | null | null | null | null |
2,311.08377 | Learning to Filter Context for Retrieval-Augmented Generation | ['Zhiruo Wang', 'Jun Araki', 'Zhengbao Jiang', 'Md Rizwan Parvez', 'Graham Neubig'] | ['cs.CL', 'cs.AI'] | On-the-fly retrieval of relevant knowledge has proven an essential element of
reliable systems for tasks such as open-domain question answering and fact
verification. However, because retrieval systems are not perfect, generation
models are required to generate outputs given partially or entirely irrelevant
passages. T... | 2023-11-14T18:41:54Z | null | null | null | null | null | null | null | null | null | null |
2,311.08526 | GLiNER: Generalist Model for Named Entity Recognition using
Bidirectional Transformer | ['Urchade Zaratiana', 'Nadi Tomeh', 'Pierre Holat', 'Thierry Charnois'] | ['cs.CL', 'cs.AI', 'cs.LG'] | Named Entity Recognition (NER) is essential in various Natural Language
Processing (NLP) applications. Traditional NER models are effective but limited
to a set of predefined entity types. In contrast, Large Language Models (LLMs)
can extract arbitrary entities through natural language instructions, offering
greater fl... | 2023-11-14T20:39:12Z | Work in progress | null | null | null | null | null | null | null | null | null |
2,311.08793 | German FinBERT: A German Pre-trained Language Model | ['Moritz Scherrmann'] | ['cs.CL', 'stat.ML'] | This study presents German FinBERT, a novel pre-trained German language model
tailored for financial textual data. The model is trained through a
comprehensive pre-training process, leveraging a substantial corpus comprising
financial reports, ad-hoc announcements and news related to German companies.
The corpus size i... | 2023-11-15T09:07:29Z | null | null | null | null | null | null | null | null | null | null |
2,311.08941 | Transformers in the Service of Description Logic-based Contexts | ['Angelos Poulis', 'Eleni Tsalapati', 'Manolis Koubarakis'] | ['cs.CL', 'cs.AI'] | Recent advancements in transformer-based models have initiated research
interests in investigating their ability to learn to perform reasoning tasks.
However, most of the contexts used for this purpose are in practice very
simple: generated from short (fragments of) first-order logic sentences with
only a few logical o... | 2023-11-15T13:23:24Z | null | null | null | Transformers in the Service of Description Logic-Based Contexts | ['Angelos Poulis', 'Eleni Tsalapati', 'Manolis Koubarakis'] | 2,023 | International Conference Knowledge Engineering and Knowledge Management | 0 | 28 | ['Computer Science'] |
2,311.09198 | Never Lost in the Middle: Mastering Long-Context Question Answering with
Position-Agnostic Decompositional Training | ['Junqing He', 'Kunhao Pan', 'Xiaoqun Dong', 'Zhuoyang Song', 'Yibo Liu', 'Qianguo Sun', 'Yuxin Liang', 'Hao Wang', 'Enming Zhang', 'Jiaxing Zhang'] | ['cs.CL', 'cs.AI'] | While large language models (LLMs) are equipped with longer text input
capabilities than before, they are struggling to seek correct information in
long contexts. The "lost in the middle" problem challenges most LLMs, referring
to the dramatic decline in accuracy when correct information is located in the
middle. To ov... | 2023-11-15T18:42:44Z | Accepted by ACL 2024 main conference | null | null | Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional Training | ['Junqing He', 'Kunhao Pan', 'Xiaoqun Dong', 'Zhuoyang Song', 'LiuYiBo LiuYiBo', 'Qianguosun Qianguosun', 'Yuxin Liang', 'Hao Wang', 'Enming Zhang', 'Jiaxing Zhang'] | 2,023 | Annual Meeting of the Association for Computational Linguistics | 18 | 55 | ['Computer Science'] |
2,311.09206 | TableLlama: Towards Open Large Generalist Models for Tables | ['Tianshu Zhang', 'Xiang Yue', 'Yifei Li', 'Huan Sun'] | ['cs.CL', 'cs.AI', 'cs.DB'] | Semi-structured tables are ubiquitous. There has been a variety of tasks that
aim to automatically interpret, augment, and query tables. Current methods
often require pretraining on tables or special model architecture design, are
restricted to specific table types, or have simplifying assumptions about
tables and task... | 2023-11-15T18:47:52Z | NAACL 2024 long paper | null | null | TableLlama: Towards Open Large Generalist Models for Tables | ['Tianshu Zhang', 'Xiang Yue', 'Yifei Li', 'Huan Sun'] | 2,023 | North American Chapter of the Association for Computational Linguistics | 101 | 57 | ['Computer Science'] |
2,311.09265 | FastBlend: a Powerful Model-Free Toolkit Making Video Stylization Easier | ['Zhongjie Duan', 'Chengyu Wang', 'Cen Chen', 'Weining Qian', 'Jun Huang', 'Mingyi Jin'] | ['cs.CV'] | With the emergence of diffusion models and rapid development in image
processing, it has become effortless to generate fancy images in tasks such as
style transfer and image editing. However, these impressive image processing
approaches face consistency issues in video processing. In this paper, we
propose a powerful m... | 2023-11-15T08:28:28Z | 13 pages, 10 figures | null | null | null | null | null | null | null | null | null |
2,311.09278 | Symbol-LLM: Towards Foundational Symbol-centric Interface For Large
Language Models | ['Fangzhi Xu', 'Zhiyong Wu', 'Qiushi Sun', 'Siyu Ren', 'Fei Yuan', 'Shuai Yuan', 'Qika Lin', 'Yu Qiao', 'Jun Liu'] | ['cs.CL', 'cs.AI'] | Although Large Language Models (LLMs) demonstrate remarkable ability in
processing and generating human-like text, they do have limitations when it
comes to comprehending and expressing world knowledge that extends beyond the
boundaries of natural language(e.g., chemical molecular formula). Injecting a
collection of sy... | 2023-11-15T18:59:56Z | 23 pages, 13 figures | null | null | Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models | ['Fangzhi Xu', 'Zhiyong Wu', 'Qiushi Sun', 'Siyu Ren', 'Fei Yuan', 'Shuai Yuan', 'Qika Lin', 'Yu Qiao', 'Jun Liu'] | 2,023 | Annual Meeting of the Association for Computational Linguistics | 37 | 80 | ['Computer Science'] |
2,311.09528 | HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM | ['Zhilin Wang', 'Yi Dong', 'Jiaqi Zeng', 'Virginia Adams', 'Makesh Narsimhan Sreedhar', 'Daniel Egert', 'Olivier Delalleau', 'Jane Polak Scowcroft', 'Neel Kant', 'Aidan Swope', 'Oleksii Kuchaiev'] | ['cs.CL', 'cs.AI', 'cs.LG'] | Existing open-source helpfulness preference datasets do not specify what
makes some responses more helpful and others less so. Models trained on these
datasets can incidentally learn to model dataset artifacts (e.g. preferring
longer but unhelpful responses only due to their length). To alleviate this
problem, we colle... | 2023-11-16T03:13:29Z | null | null | null | HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM | ['Zhilin Wang', 'Yi Dong', 'Jiaqi Zeng', 'Virginia Adams', 'Makesh Narsimhan Sreedhar', 'Daniel Egert', 'Olivier Delalleau', 'Jane Scowcroft', 'Neel Kant', 'Aidan Swope', 'Oleksii Kuchaiev'] | 2,023 | North American Chapter of the Association for Computational Linguistics | 77 | 54 | ['Computer Science'] |
2,311.09538 | Reducing Privacy Risks in Online Self-Disclosures with Language Models | ['Yao Dou', 'Isadora Krsek', 'Tarek Naous', 'Anubha Kabra', 'Sauvik Das', 'Alan Ritter', 'Wei Xu'] | ['cs.CL', 'cs.HC'] | Self-disclosure, while being common and rewarding in social media
interaction, also poses privacy risks. In this paper, we take the initiative to
protect the user-side privacy associated with online self-disclosure through
detection and abstraction. We develop a taxonomy of 19 self-disclosure
categories and curate a la... | 2023-11-16T03:28:43Z | Accepted at ACL 2024 | null | null | Reducing Privacy Risks in Online Self-Disclosures with Language Models | ['Yao Dou', 'Isadora Krsek', 'Tarek Naous', 'Anubha Kabra', 'Sauvik Das', 'Alan Ritter', 'Wei Xu'] | 2,023 | Annual Meeting of the Association for Computational Linguistics | 30 | 141 | ['Computer Science'] |
2,311.09585 | LifeTox: Unveiling Implicit Toxicity in Life Advice | ['Minbeom Kim', 'Jahyun Koo', 'Hwanhee Lee', 'Joonsuk Park', 'Hwaran Lee', 'Kyomin Jung'] | ['cs.CL'] | As large language models become increasingly integrated into daily life,
detecting implicit toxicity across diverse contexts is crucial. To this end, we
introduce LifeTox, a dataset designed for identifying implicit toxicity within
a broad range of advice-seeking scenarios. Unlike existing safety datasets,
LifeTox comp... | 2023-11-16T05:43:02Z | 11 pages, 5 figures, NAACL 2024 | null | null | LifeTox: Unveiling Implicit Toxicity in Life Advice | ['Minbeom Kim', 'Jahyun Koo', 'Hwanhee Lee', 'Joonsuk Park', 'Hwaran Lee', 'Kyomin Jung'] | 2,023 | North American Chapter of the Association for Computational Linguistics | 10 | 53 | ['Computer Science'] |
2,311.09613 | Digital Socrates: Evaluating LLMs through Explanation Critiques | ['Yuling Gu', 'Oyvind Tafjord', 'Peter Clark'] | ['cs.CL', 'cs.AI'] | While LLMs can provide reasoned explanations along with their answers, the
nature and quality of those explanations are still poorly understood. In
response, our goal is to define a detailed way of characterizing the
explanation capabilities of modern models and to create a nuanced,
interpretable explanation evaluation... | 2023-11-16T06:51:46Z | ACL 2024 | null | null | null | null | null | null | null | null | null |
2,311.09724 | OVM, Outcome-supervised Value Models for Planning in Mathematical
Reasoning | ['Fei Yu', 'Anningzhe Gao', 'Benyou Wang'] | ['cs.AI', 'cs.CL'] | Large language models (LLMs) often struggle with maintaining accuracy
throughout multiple multiple reasoning steps, especially in mathematical
reasoning where an error in earlier steps can propagate to subsequent ones and
it ultimately leading to an incorrect answer. To reduce error propagation,
guided decoding is empl... | 2023-11-16T09:56:28Z | Accepted to NAACL findings.
https://github.com/FreedomIntelligence/OVM | null | null | null | null | null | null | null | null | null |
2,311.09748 | Translation Aligned Sentence Embeddings for Turkish Language | ['Eren Unlu', 'Unver Ciftci'] | ['cs.CL'] | Due to the limited availability of high quality datasets for training
sentence embeddings in Turkish, we propose a training methodology and a regimen
to develop a sentence embedding model. The central idea is simple but effective
: is to fine-tune a pretrained encoder-decoder model in two consecutive stages,
where the ... | 2023-11-16T10:25:22Z | 7 pages, 3 figures | null | null | null | null | null | null | null | null | null |
2,311.0977 | DINO-VITS: Data-Efficient Zero-Shot TTS with Self-Supervised Speaker
Verification Loss for Noise Robustness | ['Vikentii Pankov', 'Valeria Pronina', 'Alexander Kuzmin', 'Maksim Borisov', 'Nikita Usoltsev', 'Xingshan Zeng', 'Alexander Golubkov', 'Nikolai Ermolenko', 'Aleksandra Shirshova', 'Yulia Matveeva'] | ['cs.SD', 'eess.AS'] | We address zero-shot TTS systems' noise-robustness problem by proposing a
dual-objective training for the speaker encoder using self-supervised DINO
loss. This approach enhances the speaker encoder with the speech synthesis
objective, capturing a wider range of speech characteristics beneficial for
voice cloning. At th... | 2023-11-16T10:50:22Z | Accepted to Interspeech2024 | null | null | DINO-VITS: Data-Efficient Zero-Shot TTS with Self-Supervised Speaker Verification Loss for Noise Robustness | ['Vikentii Pankov', 'Valeria Pronina', 'Alexander Kuzmin', 'Maksim Borisov', 'Nikita Usoltsev', 'Xingshan Zeng', 'Alexander Golubkov', 'Nikolai Ermolenko', 'Aleksandra Shirshova', 'Yulia Matveeva'] | 2,023 | Interspeech | 5 | 32 | ['Computer Science', 'Engineering'] |
2,311.09774 | HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs | ['Junying Chen', 'Xidong Wang', 'Ke Ji', 'Anningzhe Gao', 'Feng Jiang', 'Shunian Chen', 'Hongbo Zhang', 'Dingjie Song', 'Wenya Xie', 'Chuyi Kong', 'Jianquan Li', 'Xiang Wan', 'Haizhou Li', 'Benyou Wang'] | ['cs.CL', 'cs.AI', 'cs.LG'] | Adapting a language model into a specific domain, a.k.a `domain adaption', is
a common practice when specialized knowledge, e.g. medicine, is not
encapsulated in a general language model like Llama2. The challenge lies in the
heterogeneity of data across the two training stages, as it varies in
languages, genres, or fo... | 2023-11-16T10:56:24Z | null | null | null | null | null | null | null | null | null | null |
2,311.09828 | AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced
African Languages | ['Jiayi Wang', 'David Ifeoluwa Adelani', 'Sweta Agrawal', 'Marek Masiak', 'Ricardo Rei', 'Eleftheria Briakou', 'Marine Carpuat', 'Xuanli He', 'Sofia Bourhim', 'Andiswa Bukula', 'Muhidin Mohamed', 'Temitayo Olatoye', 'Tosin Adewumi', 'Hamam Mokayed', 'Christine Mwase', 'Wangui Kimotho', 'Foutse Yuehgoh', 'Anuoluwapo Are... | ['cs.CL'] | Despite the recent progress on scaling multilingual machine translation (MT)
to several under-resourced African languages, accurately measuring this
progress remains challenging, since evaluation is often performed on n-gram
matching metrics such as BLEU, which typically show a weaker correlation with
human judgments. ... | 2023-11-16T11:52:52Z | Accepted by NAACL 2024 | null | null | null | null | null | null | null | null | null |
2,311.10111 | VideoCon: Robust Video-Language Alignment via Contrast Captions | ['Hritik Bansal', 'Yonatan Bitton', 'Idan Szpektor', 'Kai-Wei Chang', 'Aditya Grover'] | ['cs.CV', 'cs.AI', 'cs.CL', 'cs.LG'] | Despite being (pre)trained on a massive amount of data, state-of-the-art
video-language alignment models are not robust to semantically-plausible
contrastive changes in the video captions. Our work addresses this by
identifying a broad spectrum of contrast misalignments, such as replacing
entities, actions, and flippin... | 2023-11-15T19:51:57Z | 22 pages, 19 Figures, 7 Tables | null | null | null | null | null | null | null | null | null |
2,311.10122 | Video-LLaVA: Learning United Visual Representation by Alignment Before
Projection | ['Bin Lin', 'Yang Ye', 'Bin Zhu', 'Jiaxi Cui', 'Munan Ning', 'Peng Jin', 'Li Yuan'] | ['cs.CV'] | The Large Vision-Language Model (LVLM) has enhanced the performance of
various downstream tasks in visual-language understanding. Most existing
approaches encode images and videos into separate feature spaces, which are
then fed as inputs to large language models. However, due to the lack of
unified tokenization for im... | 2023-11-16T10:59:44Z | null | null | null | null | null | null | null | null | null | null |
2,311.10702 | Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2 | ['Hamish Ivison', 'Yizhong Wang', 'Valentina Pyatkin', 'Nathan Lambert', 'Matthew Peters', 'Pradeep Dasigi', 'Joel Jang', 'David Wadden', 'Noah A. Smith', 'Iz Beltagy', 'Hannaneh Hajishirzi'] | ['cs.CL'] | Since the release of T\"ULU [Wang et al., 2023b], open resources for
instruction tuning have developed quickly, from better base models to new
finetuning techniques. We test and incorporate a number of these advances into
T\"ULU, resulting in T\"ULU 2, a suite of improved T\"ULU models for advancing
the understanding a... | 2023-11-17T18:45:45Z | technical report; fixed zephyr numbers | null | null | Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2 | ['Hamish Ivison', 'Yizhong Wang', 'Valentina Pyatkin', 'Nathan Lambert', 'Matthew E. Peters', 'Pradeep Dasigi', 'Joel Jang', 'David Wadden', 'Noah A. Smith', 'Iz Beltagy', 'Hanna Hajishirzi'] | 2,023 | arXiv.org | 194 | 46 | ['Computer Science'] |
2,311.1077 | Exponentially Faster Language Modelling | ['Peter Belcak', 'Roger Wattenhofer'] | ['cs.CL', 'cs.AI', 'cs.LG', 'cs.NE'] | Language models only really need to use an exponential fraction of their
neurons for individual inferences. As proof, we present UltraFastBERT, a BERT
variant that uses 0.3% of its neurons during inference while performing on par
with similar BERT models. UltraFastBERT selectively engages just 12 out of 4095
neurons fo... | 2023-11-15T18:42:50Z | null | null | null | Exponentially Faster Language Modelling | ['Peter Belcák', 'R. Wattenhofer'] | 2,023 | arXiv.org | 4 | 11 | ['Computer Science'] |
2,311.10988 | Expanding Scene Graph Boundaries: Fully Open-vocabulary Scene Graph
Generation via Visual-Concept Alignment and Retention | ['Zuyao Chen', 'Jinlin Wu', 'Zhen Lei', 'Zhaoxiang Zhang', 'Changwen Chen'] | ['cs.CV'] | Scene Graph Generation (SGG) offers a structured representation critical in
many computer vision applications. Traditional SGG approaches, however, are
limited by a closed-set assumption, restricting their ability to recognize only
predefined object and relation categories. To overcome this, we categorize SGG
scenarios... | 2023-11-18T06:49:17Z | null | null | null | Expanding Scene Graph Boundaries: Fully Open-vocabulary Scene Graph Generation via Visual-Concept Alignment and Retention | ['Zuyao Chen', 'Jinlin Wu', 'Zhen Lei', 'Zhaoxiang Zhang', 'Changwen Chen'] | 2,023 | European Conference on Computer Vision | 18 | 53 | ['Computer Science'] |
2,311.11001 | Gendec: A Machine Learning-based Framework for Gender Detection from
Japanese Names | ['Duong Tien Pham', 'Luan Thanh Nguyen'] | ['cs.CL'] | Every human has their own name, a fundamental aspect of their identity and
cultural heritage. The name often conveys a wealth of information, including
details about an individual's background, ethnicity, and, especially, their
gender. By detecting gender through the analysis of names, researchers can
unlock valuable i... | 2023-11-18T07:46:59Z | This paper is accepted for presentation at ISDA'23 | null | null | null | null | null | null | null | null | null |
2,311.11045 | Orca 2: Teaching Small Language Models How to Reason | ['Arindam Mitra', 'Luciano Del Corro', 'Shweti Mahajan', 'Andres Codas', 'Clarisse Simoes', 'Sahaj Agarwal', 'Xuxi Chen', 'Anastasia Razdaibiedina', 'Erik Jones', 'Kriti Aggarwal', 'Hamid Palangi', 'Guoqing Zheng', 'Corby Rosset', 'Hamed Khanpour', 'Ahmed Awadallah'] | ['cs.AI'] | Orca 1 learns from rich signals, such as explanation traces, allowing it to
outperform conventional instruction-tuned models on benchmarks like BigBench
Hard and AGIEval. In Orca 2, we continue exploring how improved training
signals can enhance smaller LMs' reasoning abilities. Research on training
small LMs has often... | 2023-11-18T11:44:52Z | Added url to model weights fixed typo in Author name | null | null | Orca 2: Teaching Small Language Models How to Reason | ['Arindam Mitra', 'Luciano Del Corro', 'Shweti Mahajan', 'Andres Codas', 'Clarisse Simoes', 'Sahaj Agrawal', 'Xuxi Chen', 'Anastasia Razdaibiedina', 'Erik Jones', 'Kriti Aggarwal', 'Hamid Palangi', 'Guoqing Zheng', 'Corby Rosset', 'Hamed Khanpour', 'Ahmed Awadallah'] | 2,023 | arXiv.org | 146 | 0 | ['Computer Science'] |
2,311.11255 | M$^{2}$UGen: Multi-modal Music Understanding and Generation with the
Power of Large Language Models | ['Shansong Liu', 'Atin Sakkeer Hussain', 'Qilong Wu', 'Chenshuo Sun', 'Ying Shan'] | ['cs.SD', 'cs.MM', 'eess.AS'] | The current landscape of research leveraging large language models (LLMs) is
experiencing a surge. Many works harness the powerful reasoning capabilities of
these models to comprehend various modalities, such as text, speech, images,
videos, etc. They also utilize LLMs to understand human intention and generate
desired... | 2023-11-19T06:50:52Z | null | null | null | null | null | null | null | null | null | null |
2,311.11564 | KBioXLM: A Knowledge-anchored Biomedical Multilingual Pretrained
Language Model | ['Lei Geng', 'Xu Yan', 'Ziqiang Cao', 'Juntao Li', 'Wenjie Li', 'Sujian Li', 'Xinjie Zhou', 'Yang Yang', 'Jun Zhang'] | ['cs.CL'] | Most biomedical pretrained language models are monolingual and cannot handle
the growing cross-lingual requirements. The scarcity of non-English domain
corpora, not to mention parallel data, poses a significant hurdle in training
multilingual biomedical models. Since knowledge forms the core of
domain-specific corpora ... | 2023-11-20T07:02:35Z | null | null | null | KBioXLM: A Knowledge-anchored Biomedical Multilingual Pretrained Language Model | ['Lei Geng', 'Xu Yan', 'Ziqiang Cao', 'Juntao Li', 'Wenjie Li', 'Sujian Li', 'Xinjie Zhou', 'Yang Yang', 'Jun Zhang'] | 2,023 | Conference on Empirical Methods in Natural Language Processing | 0 | 40 | ['Computer Science'] |
2,311.11691 | Towards Robust Text Retrieval with Progressive Learning | ['Tong Wu', 'Yulei Qin', 'Enwei Zhang', 'Zihan Xu', 'Yuting Gao', 'Ke Li', 'Xing Sun'] | ['cs.IR', 'cs.AI'] | Retrieval augmentation has become an effective solution to empower large
language models (LLMs) with external and verified knowledge sources from the
database, which overcomes the limitations and hallucinations of LLMs in
handling up-to-date and domain-specific information. However, existing
embedding models for text r... | 2023-11-20T11:44:01Z | null | null | null | null | null | null | null | null | null | null |
2,311.12022 | GPQA: A Graduate-Level Google-Proof Q&A Benchmark | ['David Rein', 'Betty Li Hou', 'Asa Cooper Stickland', 'Jackson Petty', 'Richard Yuanzhe Pang', 'Julien Dirani', 'Julian Michael', 'Samuel R. Bowman'] | ['cs.AI', 'cs.CL'] | We present GPQA, a challenging dataset of 448 multiple-choice questions
written by domain experts in biology, physics, and chemistry. We ensure that
the questions are high-quality and extremely difficult: experts who have or are
pursuing PhDs in the corresponding domains reach 65% accuracy (74% when
discounting clear m... | 2023-11-20T18:57:34Z | 28 pages, 5 figures, 7 tables | null | null | null | null | null | null | null | null | null |
2,311.12229 | NeuroPrompts: An Adaptive Framework to Optimize Prompts for
Text-to-Image Generation | ['Shachar Rosenman', 'Vasudev Lal', 'Phillip Howard'] | ['cs.AI'] | Despite impressive recent advances in text-to-image diffusion models,
obtaining high-quality images often requires prompt engineering by humans who
have developed expertise in using them. In this work, we present NeuroPrompts,
an adaptive framework that automatically enhances a user's prompt to improve
the quality of g... | 2023-11-20T22:57:47Z | Accepted to EACL 2024 System Demonstration Track | null | null | NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation | ['Shachar Rosenman', 'Vasudev Lal', 'Phillip Howard'] | 2,023 | Conference of the European Chapter of the Association for Computational Linguistics | 5 | 25 | ['Computer Science'] |
2,311.12386 | Point, Segment and Count: A Generalized Framework for Object Counting | ['Zhizhong Huang', 'Mingliang Dai', 'Yi Zhang', 'Junping Zhang', 'Hongming Shan'] | ['cs.CV'] | Class-agnostic object counting aims to count all objects in an image with
respect to example boxes or class names, \emph{a.k.a} few-shot and zero-shot
counting. In this paper, we propose a generalized framework for both few-shot
and zero-shot object counting based on detection. Our framework combines the
superior advan... | 2023-11-21T06:55:21Z | Accepted by CVPR 2024. Camera ready | null | null | null | null | null | null | null | null | null |
2,311.1241 | nach0: Multimodal Natural and Chemical Languages Foundation Model | ['Micha Livne', 'Zulfat Miftahutdinov', 'Elena Tutubalina', 'Maksim Kuznetsov', 'Daniil Polykovskiy', 'Annika Brundyn', 'Aastha Jhunjhunwala', 'Anthony Costa', 'Alex Aliper', 'Alán Aspuru-Guzik', 'Alex Zhavoronkov'] | ['cs.CL', 'cs.AI', 'cs.LG', 'q-bio.QM'] | Large Language Models (LLMs) have substantially driven scientific progress in
various domains, and many papers have demonstrated their ability to tackle
complex problems with creative solutions. Our paper introduces a new foundation
model, nach0, capable of solving various chemical and biological tasks:
biomedical ques... | 2023-11-21T07:56:30Z | Accepted to Chemical Science Journal. Models are publicly available
via https://huggingface.co/insilicomedicine/nach0_base and
https://huggingface.co/insilicomedicine/nach0_large | Chemical Science, 15(22), 8380-8389, 2024 | 10.1039/D4SC00966E | null | null | null | null | null | null | null |
2,311.12448 | Extracting Definienda in Mathematical Scholarly Articles with
Transformers | ['Shufan Jiang', 'Pierre Senellart'] | ['cs.AI'] | We consider automatically identifying the defined term within a mathematical
definition from the text of an academic article. Inspired by the development of
transformer-based natural language processing applications, we pose the problem
as (a) a token-level classification task using fine-tuned pre-trained
transformers;... | 2023-11-21T08:58:57Z | In the Proceedings of the 2nd Workshop on Information Extraction from
Scientific Publications (WIESP 2023) | null | null | Extracting Definienda in Mathematical Scholarly Articles with Transformers | ['Shufan Jiang', 'Pierre Senellart'] | 2,023 | WIESP | 1 | 17 | ['Computer Science'] |
2,311.12751 | Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with
Spatial Relation Matching | ['Meng Chu', 'Zhedong Zheng', 'Wei Ji', 'Tingyu Wang', 'Tat-Seng Chua'] | ['cs.CV', 'cs.MM'] | Navigating drones through natural language commands remains challenging due
to the dearth of accessible multi-modal datasets and the stringent precision
requirements for aligning visual and textual data. To address this pressing
need, we introduce GeoText-1652, a new natural language-guided geo-localization
benchmark. ... | 2023-11-21T17:52:30Z | Accepted by ECCV 2024 | null | null | Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching | ['Meng Chu', 'Zhedong Zheng', 'Wei Ji', 'Tingyu Wang', 'Tat-Seng Chua'] | 2,023 | European Conference on Computer Vision | 10 | 86 | ['Computer Science'] |
2,311.12793 | ShareGPT4V: Improving Large Multi-Modal Models with Better Captions | ['Lin Chen', 'Jinsong Li', 'Xiaoyi Dong', 'Pan Zhang', 'Conghui He', 'Jiaqi Wang', 'Feng Zhao', 'Dahua Lin'] | ['cs.CV'] | In the realm of large multi-modal models (LMMs), efficient modality alignment
is crucial yet often constrained by the scarcity of high-quality image-text
data. To address this bottleneck, we introduce the ShareGPT4V dataset, a
pioneering large-scale resource featuring 1.2 million highly descriptive
captions, which surp... | 2023-11-21T18:58:11Z | Project: https://ShareGPT4V.github.io | null | null | ShareGPT4V: Improving Large Multi-Modal Models with Better Captions | ['Lin Chen', 'Jinsong Li', 'Xiao-wen Dong', 'Pan Zhang', 'Conghui He', 'Jiaqi Wang', 'Feng Zhao', 'Dahua Lin'] | 2,023 | European Conference on Computer Vision | 683 | 59 | ['Computer Science'] |
2,311.12796 | Physics-guided Shape-from-Template: Monocular Video Perception through
Neural Surrogate Models | ['David Stotko', 'Nils Wandel', 'Reinhard Klein'] | ['cs.CV', 'cs.LG'] | 3D reconstruction of dynamic scenes is a long-standing problem in computer
graphics and increasingly difficult the less information is available.
Shape-from-Template (SfT) methods aim to reconstruct a template-based geometry
from RGB images or video sequences, often leveraging just a single monocular
camera without dep... | 2023-11-21T18:59:58Z | null | null | null | null | null | null | null | null | null | null |
2,311.12886 | AnimateAnything: Fine-Grained Open Domain Image Animation with Motion
Guidance | ['Zuozhuo Dai', 'Zhenghao Zhang', 'Yao Yao', 'Bingxue Qiu', 'Siyu Zhu', 'Long Qin', 'Weizhi Wang'] | ['cs.CV'] | Image animation is a key task in computer vision which aims to generate
dynamic visual content from static image. Recent image animation methods employ
neural based rendering technique to generate realistic animations. Despite
these advancements, achieving fine-grained and controllable image animation
guided by text re... | 2023-11-21T03:47:54Z | null | null | null | null | null | null | null | null | null | null |
2,311.12908 | Diffusion Model Alignment Using Direct Preference Optimization | ['Bram Wallace', 'Meihua Dang', 'Rafael Rafailov', 'Linqi Zhou', 'Aaron Lou', 'Senthil Purushwalkam', 'Stefano Ermon', 'Caiming Xiong', 'Shafiq Joty', 'Nikhil Naik'] | ['cs.CV', 'cs.AI', 'cs.GR', 'cs.LG'] | Large language models (LLMs) are fine-tuned using human comparison data with
Reinforcement Learning from Human Feedback (RLHF) methods to make them better
aligned with users' preferences. In contrast to LLMs, human preference learning
has not been widely explored in text-to-image diffusion models; the best
existing app... | 2023-11-21T15:24:05Z | null | null | null | null | null | null | null | null | null | null |
2,311.13073 | FusionFrames: Efficient Architectural Aspects for Text-to-Video
Generation Pipeline | ['Vladimir Arkhipkin', 'Zein Shaheen', 'Viacheslav Vasilev', 'Elizaveta Dakhova', 'Andrey Kuznetsov', 'Denis Dimitrov'] | ['cs.CV', 'cs.LG', 'cs.MM'] | Multimedia generation approaches occupy a prominent place in artificial
intelligence research. Text-to-image models achieved high-quality results over
the last few years. However, video synthesis methods recently started to
develop. This paper presents a new two-stage latent diffusion text-to-video
generation architect... | 2023-11-22T00:26:15Z | Project page: https://ai-forever.github.io/kandinsky-video/ | null | null | null | null | null | null | null | null | null |
2,311.13385 | SegVol: Universal and Interactive Volumetric Medical Image Segmentation | ['Yuxin Du', 'Fan Bai', 'Tiejun Huang', 'Bo Zhao'] | ['cs.CV'] | Precise image segmentation provides clinical study with instructive
information. Despite the remarkable progress achieved in medical image
segmentation, there is still an absence of a 3D foundation segmentation model
that can segment a wide range of anatomical categories with easy user
interaction. In this paper, we pr... | 2023-11-22T13:27:36Z | NeurIPS 2024 Spotlight | null | null | SegVol: Universal and Interactive Volumetric Medical Image Segmentation | ['Yuxin Du', 'Fan Bai', 'Tiejun Huang', 'Bo Zhao'] | 2,023 | Neural Information Processing Systems | 44 | 78 | ['Computer Science'] |
2,311.13534 | LM-Cocktail: Resilient Tuning of Language Models via Model Merging | ['Shitao Xiao', 'Zheng Liu', 'Peitian Zhang', 'Xingrun Xing'] | ['cs.CL', 'cs.AI', 'cs.IR'] | The pre-trained language models are continually fine-tuned to better support
downstream applications. However, this operation may result in significant
performance degeneration on general tasks beyond the targeted domain. To
overcome this problem, we propose LM-Cocktail which enables the fine-tuned
model to stay resili... | 2023-11-22T17:14:54Z | Work is in progress | null | null | null | null | null | null | null | null | null |
2,311.13668 | MAIRA-1: A specialised large multimodal model for radiology report
generation | ['Stephanie L. Hyland', 'Shruthi Bannur', 'Kenza Bouzid', 'Daniel C. Castro', 'Mercy Ranjit', 'Anton Schwaighofer', 'Fernando Pérez-García', 'Valentina Salvatelli', 'Shaury Srivastav', 'Anja Thieme', 'Noel Codella', 'Matthew P. Lungren', 'Maria Teodora Wetscherek', 'Ozan Oktay', 'Javier Alvarez-Valle'] | ['cs.CL', 'cs.AI', 'cs.CV'] | We present a radiology-specific multimodal model for the task for generating
radiological reports from chest X-rays (CXRs). Our work builds on the idea that
large language model(s) can be equipped with multimodal capabilities through
alignment with pre-trained vision encoders. On natural images, this has been
shown to ... | 2023-11-22T19:45:40Z | 18 pages, 9 tables, 5 figures. v2 adds test IDs and image encoder
citation. v3 fixes error in NPV/specificity | null | null | MAIRA-1: A specialised large multimodal model for radiology report generation | ['Stephanie L. Hyland', 'Shruthi Bannur', 'Kenza Bouzid', 'Daniel C. Castro', 'M. Ranjit', 'Anton Schwaighofer', 'Fernando Pérez-García', 'V. Salvatelli', 'Shaury Srivastav', 'Anja Thieme', 'Noel Codella', 'M. Lungren', 'M. Wetscherek', 'O. Oktay', 'Javier Alvarez-Valle'] | 2,023 | arXiv.org | 49 | 48 | ['Computer Science'] |
2,311.13721 | Nova: Generative Language Models for Assembly Code with Hierarchical
Attention and Contrastive Learning | ['Nan Jiang', 'Chengxiao Wang', 'Kevin Liu', 'Xiangzhe Xu', 'Lin Tan', 'Xiangyu Zhang', 'Petr Babkin'] | ['cs.SE', 'cs.AI'] | Binary code analysis is the foundation of crucial tasks in the security
domain; thus building effective binary analysis techniques is more important
than ever. Large language models (LLMs) although have brought impressive
improvement to source code tasks, do not directly generalize to assembly code
due to the unique ch... | 2023-11-22T22:27:54Z | null | null | null | null | null | null | null | null | null | null |
2,311.13921 | Some Like It Small: Czech Semantic Embedding Models for Industry
Applications | ['Jiří Bednář', 'Jakub Náplava', 'Petra Barančíková', 'Ondřej Lisický'] | ['cs.CL', 'cs.IR'] | This article focuses on the development and evaluation of Small-sized Czech
sentence embedding models. Small models are important components for real-time
industry applications in resource-constrained environments. Given the limited
availability of labeled Czech data, alternative approaches, including
pre-training, kno... | 2023-11-23T11:14:13Z | Accepted at the Thirty-Sixth Annual Conference on Innovative
Applications of Artificial Intelligence (IAAI-24). IAAI Innovative
Application Award. 9 pages | null | null | null | null | null | null | null | null | null |
2,311.14407 | LLamol: A Dynamic Multi-Conditional Generative Transformer for De Novo
Molecular Design | ['Niklas Dobberstein', 'Astrid Maass', 'Jan Hamaekers'] | ['cs.LG', 'cs.AI', 'physics.chem-ph'] | Generative models have demonstrated substantial promise in Natural Language
Processing (NLP) and have found application in designing molecules, as seen in
General Pretrained Transformer (GPT) models. In our efforts to develop such a
tool for exploring the organic chemical space in search of potentially
electro-active c... | 2023-11-24T10:59:12Z | null | null | null | Llamol: a dynamic multi-conditional generative transformer for de novo molecular design | ['Niklas Dobberstein', 'Astrid Maass', 'J. Hamaekers'] | 2,023 | Journal of Cheminformatics | 6 | 61 | ['Computer Science', 'Medicine', 'Physics'] |
2,311.14455 | Universal Jailbreak Backdoors from Poisoned Human Feedback | ['Javier Rando', 'Florian Tramèr'] | ['cs.AI', 'cs.CL', 'cs.CR', 'cs.LG'] | Reinforcement Learning from Human Feedback (RLHF) is used to align large
language models to produce helpful and harmless responses. Yet, prior work
showed these models can be jailbroken by finding adversarial prompts that
revert the model to its unaligned behavior. In this paper, we consider a new
threat where an attac... | 2023-11-24T13:09:34Z | Accepted as conference paper in ICLR 2024 | null | null | null | null | null | null | null | null | null |
2,311.14957 | Multi-Scale Sub-Band Constant-Q Transform Discriminator for
High-Fidelity Vocoder | ['Yicheng Gu', 'Xueyao Zhang', 'Liumeng Xue', 'Zhizheng Wu'] | ['cs.SD', 'eess.AS'] | Generative Adversarial Network (GAN) based vocoders are superior in inference
speed and synthesis quality when reconstructing an audible waveform from an
acoustic representation. This study focuses on improving the discriminator to
promote GAN-based vocoders. Most existing time-frequency-representation-based
discrimina... | 2023-11-25T07:49:09Z | null | null | null | Multi-Scale Sub-Band Constant-Q Transform Discriminator for High-Fidelity Vocoder | ['Yicheng Gu', 'Xueyao Zhang', 'Liumeng Xue', 'Zhizheng Wu'] | 2,023 | IEEE International Conference on Acoustics, Speech, and Signal Processing | 12 | 36 | ['Computer Science', 'Engineering'] |
2,311.15264 | ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning
of Heterogeneous Microscopy Images | ['Nicolas Bourriez', 'Ihab Bendidi', 'Ethan Cohen', 'Gabriel Watkinson', 'Maxime Sanchez', 'Guillaume Bollot', 'Auguste Genovesio'] | ['cs.CV', 'cs.LG'] | Unlike color photography images, which are consistently encoded into RGB
channels, biological images encompass various modalities, where the type of
microscopy and the meaning of each channel varies with each experiment.
Importantly, the number of channels can range from one to a dozen and their
correlation is often co... | 2023-11-26T10:38:47Z | null | IEEE/CVF Conference on Computer Vision and Pattern Recognition
(CVPR) 2024 | null | null | null | null | null | null | null | null |
2,311.15475 | MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers | ['Yawar Siddiqui', 'Antonio Alliegro', 'Alexey Artemov', 'Tatiana Tommasi', 'Daniele Sirigatti', 'Vladislav Rosov', 'Angela Dai', 'Matthias Nießner'] | ['cs.CV', 'cs.LG'] | We introduce MeshGPT, a new approach for generating triangle meshes that
reflects the compactness typical of artist-created meshes, in contrast to dense
triangle meshes extracted by iso-surfacing methods from neural fields. Inspired
by recent advances in powerful large language models, we adopt a sequence-based
approac... | 2023-11-27T01:20:11Z | Project Page: https://nihalsid.github.io/mesh-gpt/, Video:
https://youtu.be/UV90O1_69_o | null | null | MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers | ['Yawar Siddiqui', 'A. Alliegro', 'Alexey Artemov', 'Tatiana Tommasi', 'Daniele Sirigatti', 'Vladislav Rosov', 'Angela Dai', 'M. Nießner'] | 2,023 | Computer Vision and Pattern Recognition | 133 | 72 | ['Computer Science'] |
2,311.15565 | Evaluating the Efficacy of Hybrid Deep Learning Models in Distinguishing
AI-Generated Text | ['Abiodun Finbarrs Oketunji'] | ['cs.CL', 'cs.AI', 'cs.LG', 'I.2.7'] | My research investigates the use of cutting-edge hybrid deep learning models
to accurately differentiate between AI-generated text and human writing. I
applied a robust methodology, utilising a carefully selected dataset comprising
AI and human texts from various sources, each tagged with instructions.
Advanced natural... | 2023-11-27T06:26:53Z | null | null | 10.5281/zenodo.10251778 | Evaluating the Efficacy of Hybrid Deep Learning Models in Distinguishing AI-Generated Text | ['Finbarrs Oketunji'] | 2,023 | arXiv.org | 0 | 13 | ['Computer Science'] |
2,311.15657 | Enhancing Diffusion Models with Text-Encoder Reinforcement Learning | ['Chaofeng Chen', 'Annan Wang', 'Haoning Wu', 'Liang Liao', 'Wenxiu Sun', 'Qiong Yan', 'Weisi Lin'] | ['cs.CV'] | Text-to-image diffusion models are typically trained to optimize the
log-likelihood objective, which presents challenges in meeting specific
requirements for downstream tasks, such as image aesthetics and image-text
alignment. Recent research addresses this issue by refining the diffusion U-Net
using human rewards thro... | 2023-11-27T09:39:45Z | ECCV2024 | null | null | null | null | null | null | null | null | null |
2,311.15698 | Cerbero-7B: A Leap Forward in Language-Specific LLMs Through Enhanced
Chat Corpus Generation and Evaluation | ['Federico A. Galatolo', 'Mario G. C. A. Cimino'] | ['cs.CL', 'cs.AI'] | This study introduces a novel approach for generating high-quality,
language-specific chat corpora using a self-chat mechanism. We combine a
generator LLM for creating new samples and an embedder LLM to ensure diversity.
A new Masked Language Modelling (MLM) model-based quality assessment metric is
proposed for evaluat... | 2023-11-27T10:34:55Z | null | null | null | Cerbero-7B: A Leap Forward in Language-Specific LLMs Through Enhanced Chat Corpus Generation and Evaluation | ['Federico A. Galatolo', 'M. G. Cimino'] | 2,023 | arXiv.org | 5 | 23 | ['Computer Science'] |
2,311.15786 | YUAN 2.0: A Large Language Model with Localized Filtering-based
Attention | ['Shaohua Wu', 'Xudong Zhao', 'Shenling Wang', 'Jiangang Luo', 'Lingjun Li', 'Xi Chen', 'Bing Zhao', 'Wei Wang', 'Tong Yu', 'Rongguo Zhang', 'Jiahua Zhang', 'Chao Wang'] | ['cs.CL', 'cs.AI', 'cs.HC'] | In this work, we develop and release Yuan 2.0, a series of large language
models with parameters ranging from 2.1 billion to 102.6 billion. The Localized
Filtering-based Attention (LFA) is introduced to incorporate prior knowledge of
local dependencies of natural language into Attention. A data filtering and
generating... | 2023-11-27T13:01:59Z | null | null | null | null | null | null | null | null | null | null |
2,311.15826 | GeoChat: Grounded Large Vision-Language Model for Remote Sensing | ['Kartik Kuckreja', 'Muhammad Sohail Danish', 'Muzammal Naseer', 'Abhijit Das', 'Salman Khan', 'Fahad Shahbaz Khan'] | ['cs.CV', 'cs.AI'] | Recent advancements in Large Vision-Language Models (VLMs) have shown great
promise in natural image domains, allowing users to hold a dialogue about given
visual content. However, such general-domain VLMs perform poorly for Remote
Sensing (RS) scenarios, leading to inaccurate or fabricated information when
presented w... | 2023-11-24T18:59:10Z | 10 pages, 4 figures | null | null | null | null | null | null | null | null | null |
2,311.15908 | Enhancing Perceptual Quality in Video Super-Resolution through
Temporally-Consistent Detail Synthesis using Diffusion Models | ['Claudio Rota', 'Marco Buzzelli', 'Joost van de Weijer'] | ['cs.CV'] | In this paper, we address the problem of enhancing perceptual quality in
video super-resolution (VSR) using Diffusion Models (DMs) while ensuring
temporal consistency among frames. We present StableVSR, a VSR method based on
DMs that can significantly enhance the perceptual quality of upscaled videos by
synthesizing re... | 2023-11-27T15:14:38Z | Accepted to ECCV 2024 | null | null | null | null | null | null | null | null | null |
2,311.16075 | BioLORD-2023: Semantic Textual Representations Fusing LLM and Clinical
Knowledge Graph Insights | ['François Remy', 'Kris Demuynck', 'Thomas Demeester'] | ['cs.CL', 'cs.AI', 'cs.IR'] | In this study, we investigate the potential of Large Language Models to
complement biomedical knowledge graphs in the training of semantic models for
the biomedical and clinical domains. Drawing on the wealth of the UMLS
knowledge graph and harnessing cutting-edge Large Language Models, we propose a
new state-of-the-ar... | 2023-11-27T18:46:17Z | Preprint of upcoming journal article | null | null | BioLORD-2023: Semantic Textual Representations Fusing LLM and Clinical Knowledge Graph Insights | ['François Remy', 'Kris Demuynck', 'Thomas Demeester'] | 2,023 | arXiv.org | 5 | 59 | ['Computer Science'] |
2,311.16079 | MEDITRON-70B: Scaling Medical Pretraining for Large Language Models | ['Zeming Chen', 'Alejandro Hernández Cano', 'Angelika Romanou', 'Antoine Bonnet', 'Kyle Matoba', 'Francesco Salvi', 'Matteo Pagliardini', 'Simin Fan', 'Andreas Köpf', 'Amirkeivan Mohtashami', 'Alexandre Sallinen', 'Alireza Sakhaeirad', 'Vinitra Swamy', 'Igor Krawczuk', 'Deniz Bayazit', 'Axel Marmet', 'Syrielle Montario... | ['cs.CL', 'cs.AI', 'cs.LG'] | Large language models (LLMs) can potentially democratize access to medical
knowledge. While many efforts have been made to harness and improve LLMs'
medical knowledge and reasoning capacities, the resulting models are either
closed-source (e.g., PaLM, GPT-4) or limited in scale (<= 13B parameters),
which restricts thei... | 2023-11-27T18:49:43Z | null | null | null | null | null | null | null | null | null | null |
2,311.1609 | Self-correcting LLM-controlled Diffusion Models | ['Tsung-Han Wu', 'Long Lian', 'Joseph E. Gonzalez', 'Boyi Li', 'Trevor Darrell'] | ['cs.CV'] | Text-to-image generation has witnessed significant progress with the advent
of diffusion models. Despite the ability to generate photorealistic images,
current text-to-image diffusion models still often struggle to accurately
interpret and follow complex input text prompts. In contrast to existing models
that aim to ge... | 2023-11-27T18:56:37Z | 16 pages, 10 figures | null | null | Self-Correcting LLM-Controlled Diffusion Models | ['Tsung-Han Wu', 'Long Lian', 'Joseph Gonzalez', 'Boyi Li', 'Trevor Darrell'] | 2,023 | Computer Vision and Pattern Recognition | 67 | 40 | ['Computer Science'] |
2,311.16098 | On Bringing Robots Home | ['Nur Muhammad Mahi Shafiullah', 'Anant Rai', 'Haritheja Etukuru', 'Yiqian Liu', 'Ishan Misra', 'Soumith Chintala', 'Lerrel Pinto'] | ['cs.RO', 'cs.AI', 'cs.CV', 'cs.LG'] | Throughout history, we have successfully integrated various machines into our
homes. Dishwashers, laundry machines, stand mixers, and robot vacuums are a few
recent examples. However, these machines excel at performing only a single task
effectively. The concept of a "generalist machine" in homes - a domestic
assistant... | 2023-11-27T18:59:25Z | Project website and videos are available at https://dobb-e.com,
technical documentation for getting started is available at
https://docs.dobb-e.com, and code is released at
https://github.com/notmahi/dobb-e | null | null | null | null | null | null | null | null | null |
2,311.16254 | Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models | ['Samuele Poppi', 'Tobia Poppi', 'Federico Cocchi', 'Marcella Cornia', 'Lorenzo Baraldi', 'Rita Cucchiara'] | ['cs.CV', 'cs.AI', 'cs.CL', 'cs.MM'] | Large-scale vision-and-language models, such as CLIP, are typically trained
on web-scale data, which can introduce inappropriate content and lead to the
development of unsafe and biased behavior. This, in turn, hampers their
applicability in sensitive and trustworthy contexts and could raise significant
concerns in the... | 2023-11-27T19:02:17Z | ECCV 2024 | null | null | null | null | null | null | null | null | null |
2,311.16465 | TextDiffuser-2: Unleashing the Power of Language Models for Text
Rendering | ['Jingye Chen', 'Yupan Huang', 'Tengchao Lv', 'Lei Cui', 'Qifeng Chen', 'Furu Wei'] | ['cs.CV'] | The diffusion model has been proven a powerful generative model in recent
years, yet remains a challenge in generating visual text. Several methods
alleviated this issue by incorporating explicit text position and content as
guidance on where and what text to render. However, these methods still suffer
from several dra... | 2023-11-28T04:02:40Z | null | null | null | TextDiffuser-2: Unleashing the Power of Language Models for Text Rendering | ['Jingye Chen', 'Yupan Huang', 'Tengchao Lv', 'Lei Cui', 'Qifeng Chen', 'Furu Wei'] | 2,023 | European Conference on Computer Vision | 70 | 59 | ['Computer Science'] |
2,311.16498 | MagicAnimate: Temporally Consistent Human Image Animation using
Diffusion Model | ['Zhongcong Xu', 'Jianfeng Zhang', 'Jun Hao Liew', 'Hanshu Yan', 'Jia-Wei Liu', 'Chenxu Zhang', 'Jiashi Feng', 'Mike Zheng Shou'] | ['cs.CV', 'cs.GR'] | This paper studies the human image animation task, which aims to generate a
video of a certain reference identity following a particular motion sequence.
Existing animation works typically employ the frame-warping technique to
animate the reference image towards the target motion. Despite achieving
reasonable results, ... | 2023-11-27T18:32:31Z | Project Page at https://showlab.github.io/magicanimate | null | null | null | null | null | null | null | null | null |
2,311.16502 | MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning
Benchmark for Expert AGI | ['Xiang Yue', 'Yuansheng Ni', 'Kai Zhang', 'Tianyu Zheng', 'Ruoqi Liu', 'Ge Zhang', 'Samuel Stevens', 'Dongfu Jiang', 'Weiming Ren', 'Yuxuan Sun', 'Cong Wei', 'Botao Yu', 'Ruibin Yuan', 'Renliang Sun', 'Ming Yin', 'Boyuan Zheng', 'Zhenzhu Yang', 'Yibo Liu', 'Wenhao Huang', 'Huan Sun', 'Yu Su', 'Wenhu Chen'] | ['cs.CL', 'cs.AI', 'cs.CV'] | We introduce MMMU: a new benchmark designed to evaluate multimodal models on
massive multi-discipline tasks demanding college-level subject knowledge and
deliberate reasoning. MMMU includes 11.5K meticulously collected multimodal
questions from college exams, quizzes, and textbooks, covering six core
disciplines: Art &... | 2023-11-27T17:33:21Z | CVPR 2024 Oral | null | null | MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI | ['Xiang Yue', 'Yuansheng Ni', 'Kai Zhang', 'Tianyu Zheng', 'Ruoqi Liu', 'Ge Zhang', 'Samuel Stevens', 'Dongfu Jiang', 'Weiming Ren', 'Yuxuan Sun', 'Cong Wei', 'Botao Yu', 'Ruibin Yuan', 'Renliang Sun', 'Ming Yin', 'Boyuan Zheng', 'Zhenzhu Yang', 'Yibo Liu', 'Wenhao Huang', 'Huan Sun', 'Yu Su', 'Wenhu Chen'] | 2,023 | Computer Vision and Pattern Recognition | 960 | 84 | ['Computer Science'] |
2,311.1672 | A Two-Stage Adaptation of Large Language Models for Text Ranking | ['Longhui Zhang', 'Yanzhao Zhang', 'Dingkun Long', 'Pengjun Xie', 'Meishan Zhang', 'Min Zhang'] | ['cs.IR'] | Text ranking is a critical task in information retrieval. Recent advances in
pre-trained language models (PLMs), especially large language models (LLMs),
present new opportunities for applying them to text ranking. While supervised
fine-tuning (SFT) with ranking data has been widely explored to better align
PLMs with t... | 2023-11-28T12:04:19Z | Accepted to Findings of ACL 2024. Code and models available at
https://github.com/Alibaba-NLP/RankingGPT | null | null | null | null | null | null | null | null | null |
2,311.1684 | The Claire French Dialogue Dataset | ['Julie Hunter', 'Jérôme Louradour', 'Virgile Rennard', 'Ismaïl Harrando', 'Guokan Shang', 'Jean-Pierre Lorré'] | ['cs.CL', 'cs.AI'] | We present the Claire French Dialogue Dataset (CFDD), a resource created by
members of LINAGORA Labs in the context of the OpenLLM France initiative. CFDD
is a corpus containing roughly 160 million words from transcripts and stage
plays in French that we have assembled and publicly released in an effort to
further the ... | 2023-11-28T14:55:22Z | null | null | null | null | null | null | null | null | null | null |
2,311.16867 | The Falcon Series of Open Language Models | ['Ebtesam Almazrouei', 'Hamza Alobeidli', 'Abdulaziz Alshamsi', 'Alessandro Cappelli', 'Ruxandra Cojocaru', 'Mérouane Debbah', 'Étienne Goffinet', 'Daniel Hesslow', 'Julien Launay', 'Quentin Malartic', 'Daniele Mazzotta', 'Badreddine Noune', 'Baptiste Pannier', 'Guilherme Penedo'] | ['cs.CL', 'cs.AI'] | We introduce the Falcon series: 7B, 40B, and 180B parameters causal
decoder-only models trained on a diverse high-quality corpora predominantly
assembled from web data. The largest model, Falcon-180B, has been trained on
over 3.5 trillion tokens of text--the largest openly documented pretraining
run. Falcon-180B signif... | 2023-11-28T15:12:47Z | null | null | null | null | null | null | null | null | null | null |
2,311.16918 | RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail
Richness in Text-to-3D | ['Lingteng Qiu', 'Guanying Chen', 'Xiaodong Gu', 'Qi Zuo', 'Mutian Xu', 'Yushuang Wu', 'Weihao Yuan', 'Zilong Dong', 'Liefeng Bo', 'Xiaoguang Han'] | ['cs.CV', 'cs.AI'] | Lifting 2D diffusion for 3D generation is a challenging problem due to the
lack of geometric prior and the complex entanglement of materials and lighting
in natural images. Existing methods have shown promise by first creating the
geometry through score-distillation sampling (SDS) applied to rendered surface
normals, f... | 2023-11-28T16:22:33Z | Project Page: https://aigc3d.github.io/richdreamer/ | null | null | null | null | null | null | null | null | null |
2,311.16933 | SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models | ['Yuwei Guo', 'Ceyuan Yang', 'Anyi Rao', 'Maneesh Agrawala', 'Dahua Lin', 'Bo Dai'] | ['cs.CV'] | The development of text-to-video (T2V), i.e., generating videos with a given
text prompt, has been significantly advanced in recent years. However, relying
solely on text prompts often results in ambiguous frame composition due to
spatial uncertainty. The research community thus leverages the dense structure
signals, e... | 2023-11-28T16:33:08Z | Project page: https://guoyww.github.io/projects/SparseCtrl | null | null | null | null | null | null | null | null | null |
2,311.16974 | COLE: A Hierarchical Generation Framework for Multi-Layered and Editable
Graphic Design | ['Peidong Jia', 'Chenxuan Li', 'Yuhui Yuan', 'Zeyu Liu', 'Yichao Shen', 'Bohan Chen', 'Xingru Chen', 'Yinglin Zheng', 'Dong Chen', 'Ji Li', 'Xiaodong Xie', 'Shanghang Zhang', 'Baining Guo'] | ['cs.CV'] | Graphic design, which has been evolving since the 15th century, plays a
crucial role in advertising. The creation of high-quality designs demands
design-oriented planning, reasoning, and layer-wise generation. Unlike the
recent CanvaGPT, which integrates GPT-4 with existing design templates to build
a custom GPT, this ... | 2023-11-28T17:22:17Z | Technical report. Project page:
https://graphic-design-generation-github-io.vercel.app/ | null | null | null | null | null | null | null | null | null |
2,311.17005 | MVBench: A Comprehensive Multi-modal Video Understanding Benchmark | ['Kunchang Li', 'Yali Wang', 'Yinan He', 'Yizhuo Li', 'Yi Wang', 'Yi Liu', 'Zun Wang', 'Jilan Xu', 'Guo Chen', 'Ping Luo', 'Limin Wang', 'Yu Qiao'] | ['cs.CV'] | With the rapid development of Multi-modal Large Language Models (MLLMs), a
number of diagnostic benchmarks have recently emerged to evaluate the
comprehension capabilities of these models. However, most benchmarks
predominantly assess spatial understanding in the static image tasks, while
overlooking temporal understan... | 2023-11-28T17:59:04Z | CVPR 2024 highlight: updated version with Mistral and better
performances for MVBench/NExT-QA/STAR/TVQA/EgoSchema/IntentQA | null | null | MVBench: A Comprehensive Multi-modal Video Understanding Benchmark | ['Kunchang Li', 'Yali Wang', 'Yinan He', 'Yizhuo Li', 'Yi Wang', 'Yi Liu', 'Zun Wang', 'Jilan Xu', 'Guo Chen', 'Ping Luo', 'Limin Wang', 'Yu Qiao'] | 2,023 | Computer Vision and Pattern Recognition | 507 | 102 | ['Computer Science'] |
2,311.17041 | Eliciting In-Context Learning in Vision-Language Models for Videos
Through Curated Data Distributional Properties | ['Keunwoo Peter Yu', 'Zheyuan Zhang', 'Fengyuan Hu', 'Shane Storks', 'Joyce Chai'] | ['cs.CV', 'cs.AI', 'cs.CL'] | A major reason behind the recent success of large language models (LLMs) is
their \textit{in-context learning} capability, which makes it possible to
rapidly adapt them to downstream text-based tasks by prompting them with a
small number of relevant demonstrations. While large vision-language models
(VLMs) have recentl... | 2023-11-28T18:53:06Z | 16 pages, LaTeX; Accepted to EMNLP 2024 Main | null | null | Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional Properties | ['Keunwoo Peter Yu', 'Zheyuan Zhang', 'Fengyuan Hu', 'Joyce Chai'] | 2,023 | Conference on Empirical Methods in Natural Language Processing | 10 | 55 | ['Computer Science'] |
2,311.17042 | Adversarial Diffusion Distillation | ['Axel Sauer', 'Dominik Lorenz', 'Andreas Blattmann', 'Robin Rombach'] | ['cs.CV'] | We introduce Adversarial Diffusion Distillation (ADD), a novel training
approach that efficiently samples large-scale foundational image diffusion
models in just 1-4 steps while maintaining high image quality. We use score
distillation to leverage large-scale off-the-shelf image diffusion models as a
teacher signal in ... | 2023-11-28T18:53:24Z | null | null | null | null | null | null | null | null | null | null |
2,311.17043 | LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models | ['Yanwei Li', 'Chengyao Wang', 'Jiaya Jia'] | ['cs.CV', 'cs.CL'] | In this work, we present a novel method to tackle the token generation
challenge in Vision Language Models (VLMs) for video and image understanding,
called LLaMA-VID. Current VLMs, while proficient in tasks like image captioning
and visual question answering, face computational burdens when processing long
videos due t... | 2023-11-28T18:53:43Z | Code is available at https://github.com/dvlab-research/LLaMA-VID | null | null | null | null | null | null | null | null | null |
2,311.17045 | Jets of foliations and $b^k$-algebroids | ['Francis Bischoff', 'Álvaro del Pino', 'Aldo Witte'] | ['math.DG', 'math.GT', 'math.SG', '53C12, 53D05, 53D17'] | In this article, we introduce and study singular foliations of $b^k$-type.
These singular foliations formalize the properties of vector fields that are
tangent to order $k$ along a submanifold $W \subset M$. Our first result is a
classification of these foliations, relating them to geometric structures
defined in a for... | 2023-11-28T18:54:52Z | null | null | null | null | null | null | null | null | null | null |
2,311.17049 | MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced
Training | ['Pavan Kumar Anasosalu Vasu', 'Hadi Pouransari', 'Fartash Faghri', 'Raviteja Vemulapalli', 'Oncel Tuzel'] | ['cs.CV', 'cs.CL', 'cs.LG'] | Contrastive pretraining of image-text foundation models, such as CLIP,
demonstrated excellent zero-shot performance and improved robustness on a wide
range of downstream tasks. However, these models utilize large
transformer-based encoders with significant memory and latency overhead which
pose challenges for deploymen... | 2023-11-28T18:55:42Z | CVPR 2024 | null | null | null | null | null | null | null | null | null |
2,311.17086 | PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation
in non-English Text-to-Image Generation | ['Jian Ma', 'Chen Chen', 'Qingsong Xie', 'Haonan Lu'] | ['cs.CV', 'cs.CL'] | Text-to-image diffusion models are well-known for their ability to generate
realistic images based on textual prompts. However, the existing works have
predominantly focused on English, lacking support for non-English text-to-image
models. The most commonly used translation methods cannot solve the generation
problem r... | 2023-11-28T02:31:52Z | ECCV 2024 | null | null | null | null | null | null | null | null | null |
2,311.17117 | Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for
Character Animation | ['Li Hu', 'Xin Gao', 'Peng Zhang', 'Ke Sun', 'Bang Zhang', 'Liefeng Bo'] | ['cs.CV'] | Character Animation aims to generating character videos from still images
through driving signals. Currently, diffusion models have become the mainstream
in visual generation research, owing to their robust generative capabilities.
However, challenges persist in the realm of image-to-video, especially in
character anim... | 2023-11-28T12:27:15Z | Page: https://humanaigc.github.io/animate-anyone/ | null | null | Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation | ['Liucheng Hu', 'Xin Gao', 'Peng Zhang', 'Ke Sun', 'Bang Zhang', 'Liefeng Bo'] | 2,023 | Computer Vision and Pattern Recognition | 397 | 66 | ['Computer Science'] |
2,311.17132 | TransNeXt: Robust Foveal Visual Perception for Vision Transformers | ['Dai Shi'] | ['cs.CV', 'cs.AI'] | Due to the depth degradation effect in residual connections, many efficient
Vision Transformers models that rely on stacking layers for information
exchange often fail to form sufficient information mixing, leading to unnatural
visual perception. To address this issue, in this paper, we propose Aggregated
Attention, a ... | 2023-11-28T18:03:27Z | CVPR 2024 Camera-ready Version. Project Page:
https://github.com/DaiShiResearch/TransNeXt | null | null | TransNeXt: Robust Foveal Visual Perception for Vision Transformers | ['Dai Shi'] | 2,023 | Computer Vision and Pattern Recognition | 98 | 82 | ['Computer Science'] |
2,311.17136 | UniIR: Training and Benchmarking Universal Multimodal Information
Retrievers | ['Cong Wei', 'Yang Chen', 'Haonan Chen', 'Hexiang Hu', 'Ge Zhang', 'Jie Fu', 'Alan Ritter', 'Wenhu Chen'] | ['cs.CV', 'cs.AI', 'cs.CL', 'cs.IR'] | Existing information retrieval (IR) models often assume a homogeneous format,
limiting their applicability to diverse user needs, such as searching for
images with text descriptions, searching for a news article with a headline
image, or finding a similar photo with a query image. To approach such
different information... | 2023-11-28T18:55:52Z | Our code and dataset are available on this project page:
https://tiger-ai-lab.github.io/UniIR/ | null | null | UniIR: Training and Benchmarking Universal Multimodal Information Retrievers | ['Cong Wei', 'Yang Chen', 'Haonan Chen', 'Hexiang Hu', 'Ge Zhang', 'Jie Fu', 'Alan Ritter', 'Wenhu Chen'] | 2,023 | arXiv.org | 70 | 60 | ['Computer Science'] |
2,311.17179 | SatCLIP: Global, General-Purpose Location Embeddings with Satellite
Imagery | ['Konstantin Klemmer', 'Esther Rolf', 'Caleb Robinson', 'Lester Mackey', 'Marc Rußwurm'] | ['cs.CV', 'cs.AI', 'cs.CY', 'cs.LG'] | Geographic information is essential for modeling tasks in fields ranging from
ecology to epidemiology. However, extracting relevant location characteristics
for a given task can be challenging, often requiring expensive data fusion or
distillation from massive global imagery datasets. To address this challenge,
we intr... | 2023-11-28T19:14:40Z | null | null | null | SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery | ['Konstantin Klemmer', 'Esther Rolf', 'Caleb Robinson', 'Lester Mackey', 'Marc Rußwurm'] | 2,023 | AAAI Conference on Artificial Intelligence | 78 | 55 | ['Computer Science'] |
2,311.17487 | Taiwan LLM: Bridging the Linguistic Divide with a Culturally Aligned
Language Model | ['Yen-Ting Lin', 'Yun-Nung Chen'] | ['cs.CL', 'cs.AI'] | In the realm of language models, the nuanced linguistic and cultural
intricacies of Traditional Chinese, as spoken in Taiwan, have been largely
overlooked. This paper introduces Taiwan LLM, a pioneering Large Language Model
that specifically caters to the Traditional Chinese language, with a focus on
the variant used i... | 2023-11-29T09:48:34Z | null | null | null | Taiwan LLM: Bridging the Linguistic Divide with a Culturally Aligned Language Model | ['Yen-Ting Lin', 'Yun-Nung Chen'] | 2,023 | arXiv.org | 22 | 22 | ['Computer Science'] |
2,311.17492 | Mergen: The First Manchu-Korean Machine Translation Model Trained on
Augmented Data | ['Jean Seo', 'Sungjoo Byun', 'Minha Kang', 'Sangah Lee'] | ['cs.CL'] | The Manchu language, with its roots in the historical Manchurian region of
Northeast China, is now facing a critical threat of extinction, as there are
very few speakers left. In our efforts to safeguard the Manchu language, we
introduce Mergen, the first-ever attempt at a Manchu-Korean Machine Translation
(MT) model. ... | 2023-11-29T10:01:48Z | emnlp2023/mrl2023 | null | null | null | null | null | null | null | null | null |
2,311.17528 | HiDiffusion: Unlocking Higher-Resolution Creativity and Efficiency in
Pretrained Diffusion Models | ['Shen Zhang', 'Zhaowei Chen', 'Zhenyu Zhao', 'Yuhao Chen', 'Yao Tang', 'Jiajun Liang'] | ['cs.CV'] | Diffusion models have become a mainstream approach for high-resolution image
synthesis. However, directly generating higher-resolution images from
pretrained diffusion models will encounter unreasonable object duplication and
exponentially increase the generation time. In this paper, we discover that
object duplication... | 2023-11-29T11:01:38Z | null | null | null | HiDiffusion: Unlocking Higher-Resolution Creativity and Efficiency in Pretrained Diffusion Models | ['Shen Zhang', 'Zhaowei Chen', 'Zhenyu Zhao', 'Yuhao Chen', 'Yao Tang', 'Jiajun Liang'] | 2,023 | European Conference on Computer Vision | 8 | 41 | ['Computer Science'] |
2,311.1759 | SyncTalk: The Devil is in the Synchronization for Talking Head Synthesis | ['Ziqiao Peng', 'Wentao Hu', 'Yue Shi', 'Xiangyu Zhu', 'Xiaomei Zhang', 'Hao Zhao', 'Jun He', 'Hongyan Liu', 'Zhaoxin Fan'] | ['cs.CV'] | Achieving high synchronization in the synthesis of realistic, speech-driven
talking head videos presents a significant challenge. Traditional Generative
Adversarial Networks (GAN) struggle to maintain consistent facial identity,
while Neural Radiance Fields (NeRF) methods, although they can address this
issue, often pr... | 2023-11-29T12:35:34Z | Accepted by CVPR 2024 | null | null | SyncTalk: The Devil is in the Synchronization for Talking Head Synthesis | ['Ziqiao Peng', 'Wentao Hu', 'Yue Shi', 'Xiangyu Zhu', 'Xiaomei Zhang', 'Hao Zhao', 'Jun He', 'Hongyan Liu', 'Zhaoxin Fan'] | 2,023 | Computer Vision and Pattern Recognition | 49 | 59 | ['Computer Science'] |
2,311.17643 | Thera: Aliasing-Free Arbitrary-Scale Super-Resolution with Neural Heat
Fields | ['Alexander Becker', 'Rodrigo Caye Daudt', 'Dominik Narnhofer', 'Torben Peters', 'Nando Metzger', 'Jan Dirk Wegner', 'Konrad Schindler'] | ['cs.CV'] | Recent approaches to arbitrary-scale single image super-resolution (ASR) use
neural fields to represent continuous signals that can be sampled at arbitrary
resolutions. However, point-wise queries of neural fields do not naturally
match the point spread function (PSF) of pixels, which may cause aliasing in
the super-re... | 2023-11-29T14:01:28Z | null | null | null | Thera: Aliasing-Free Arbitrary-Scale Super-Resolution with Neural Heat Fields | ['Alexander Becker', 'R. C. Daudt', 'Nando Metzger', 'J. D. Wegner', 'Konrad Schindler'] | 2,023 | null | 0 | 56 | ['Computer Science'] |
2,311.17647 | Text as Images: Can Multimodal Large Language Models Follow Printed
Instructions in Pixels? | ['Xiujun Li', 'Yujie Lu', 'Zhe Gan', 'Jianfeng Gao', 'William Yang Wang', 'Yejin Choi'] | ['cs.CV', 'cs.AI', 'cs.CL'] | Recent multimodal large language models (MLLMs) have shown promising
instruction following capabilities on vision-language tasks. In this work, we
introduce VISUAL MODALITY INSTRUCTION (VIM), and investigate how well
multimodal models can understand textual instructions provided in pixels,
despite not being explicitly ... | 2023-11-29T14:08:53Z | Github: https://github.com/VIM-Bench/VIM_TOOL, Model and Data:
https://huggingface.co/VIM-Bench | null | null | Text as Images: Can Multimodal Large Language Models Follow Printed Instructions in Pixels? | ['Xiujun Li', 'Yujie Lu', 'Zhe Gan', 'Jianfeng Gao', 'W. Wang', 'Yejin Choi'] | 2,023 | null | 3 | 41 | ['Computer Science'] |
2,311.17957 | HandRefiner: Refining Malformed Hands in Generated Images by
Diffusion-based Conditional Inpainting | ['Wenquan Lu', 'Yufei Xu', 'Jing Zhang', 'Chaoyue Wang', 'Dacheng Tao'] | ['cs.CV'] | Diffusion models have achieved remarkable success in generating realistic
images but suffer from generating accurate human hands, such as incorrect
finger counts or irregular shapes. This difficulty arises from the complex task
of learning the physical structure and pose of hands from training images,
which involves ex... | 2023-11-29T08:52:08Z | null | null | null | null | null | null | null | null | null | null |
2,311.18063 | TurkishBERTweet: Fast and Reliable Large Language Model for Social Media
Analysis | ['Ali Najafi', 'Onur Varol'] | ['cs.CL', 'cs.LG', 'cs.SI'] | Turkish is one of the most popular languages in the world. Wide us of this
language on social media platforms such as Twitter, Instagram, or Tiktok and
strategic position of the country in the world politics makes it appealing for
the social network researchers and industry. To address this need, we introduce
TurkishBE... | 2023-11-29T20:22:44Z | 21 pages, 4 figures, 8 tables | null | null | TurkishBERTweet: Fast and Reliable Large Language Model for Social Media Analysis | ['Ali Najafi', 'Onur Varol'] | 2,023 | Expert systems with applications | 13 | 48 | ['Computer Science'] |
2,311.18537 | A Simple Video Segmenter by Tracking Objects Along Axial Trajectories | ['Ju He', 'Qihang Yu', 'Inkyu Shin', 'Xueqing Deng', 'Alan Yuille', 'Xiaohui Shen', 'Liang-Chieh Chen'] | ['cs.CV'] | Video segmentation requires consistently segmenting and tracking objects over
time. Due to the quadratic dependency on input size, directly applying
self-attention to video segmentation with high-resolution input features poses
significant challenges, often leading to insufficient GPU memory capacity.
Consequently, mod... | 2023-11-30T13:20:09Z | The paper and model names have been updated to better reflect the
methodological contributions | null | null | null | null | null | null | null | null | null |
2,311.18681 | RaDialog: A Large Vision-Language Model for Radiology Report Generation
and Conversational Assistance | ['Chantal Pellegrini', 'Ege Özsoy', 'Benjamin Busam', 'Nassir Navab', 'Matthias Keicher'] | ['cs.CV', 'cs.CL'] | Conversational AI tools that can generate and discuss clinically correct
radiology reports for a given medical image have the potential to transform
radiology. Such a human-in-the-loop radiology assistant could facilitate a
collaborative diagnostic process, thus saving time and improving the quality of
reports. Towards... | 2023-11-30T16:28:40Z | Accepted for publication at MIDL 2025 | null | null | null | null | null | null | null | null | null |
2,311.18743 | AlignBench: Benchmarking Chinese Alignment of Large Language Models | ['Xiao Liu', 'Xuanyu Lei', 'Shengyuan Wang', 'Yue Huang', 'Zhuoer Feng', 'Bosi Wen', 'Jiale Cheng', 'Pei Ke', 'Yifan Xu', 'Weng Lam Tam', 'Xiaohan Zhang', 'Lichao Sun', 'Xiaotao Gu', 'Hongning Wang', 'Jing Zhang', 'Minlie Huang', 'Yuxiao Dong', 'Jie Tang'] | ['cs.CL', 'cs.AI', 'cs.LG'] | Alignment has become a critical step for instruction-tuned Large Language
Models (LLMs) to become helpful assistants. However, the effective evaluation
of alignment for emerging Chinese LLMs is still largely unexplored. To fill in
this gap, we introduce AlignBench, a comprehensive multi-dimensional benchmark
for evalua... | 2023-11-30T17:41:30Z | Accepted to ACL 2024 | null | null | AlignBench: Benchmarking Chinese Alignment of Large Language Models | ['Xiao Liu', 'Xuanyu Lei', 'Shengyuan Wang', 'Yue Huang', 'Zhuoer Feng', 'Bosi Wen', 'Jiale Cheng', 'Pei Ke', 'Yifan Xu', 'W. Tam', 'Xiaohan Zhang', 'Lichao Sun', 'Hongning Wang', 'Jing Zhang', 'Minlie Huang', 'Yuxiao Dong', 'Jie Tang'] | 2,023 | Annual Meeting of the Association for Computational Linguistics | 50 | 52 | ['Computer Science'] |
2,311.18803 | BioCLIP: A Vision Foundation Model for the Tree of Life | ['Samuel Stevens', 'Jiaman Wu', 'Matthew J Thompson', 'Elizabeth G Campolongo', 'Chan Hee Song', 'David Edward Carlyn', 'Li Dong', 'Wasila M Dahdul', 'Charles Stewart', 'Tanya Berger-Wolf', 'Wei-Lun Chao', 'Yu Su'] | ['cs.CV', 'cs.CL', 'cs.LG'] | Images of the natural world, collected by a variety of cameras, from drones
to individual phones, are increasingly abundant sources of biological
information. There is an explosion of computational methods and tools,
particularly computer vision, for extracting biologically relevant information
from images for science ... | 2023-11-30T18:49:43Z | CVPR 2024 (oral) camera-ready version; data released | null | null | BioCLIP: A Vision Foundation Model for the Tree of Life | ['Samuel Stevens', 'Jiaman Wu', 'Matthew J. Thompson', 'Elizabeth G. Campolongo', 'Chan Hee Song', 'David E. Carlyn', 'Li Dong', 'W. Dahdul', 'Charles V. Stewart', 'Tanya Y. Berger-Wolf', 'Wei-Lun Chao', 'Yu Su'] | 2,023 | Computer Vision and Pattern Recognition | 78 | 95 | ['Computer Science'] |
2,312.00027 | Stealthy and Persistent Unalignment on Large Language Models via
Backdoor Injections | ['Yuanpu Cao', 'Bochuan Cao', 'Jinghui Chen'] | ['cs.CR', 'cs.AI', 'cs.CL'] | Recent developments in Large Language Models (LLMs) have manifested
significant advancements. To facilitate safeguards against malicious
exploitation, a body of research has concentrated on aligning LLMs with human
preferences and inhibiting their generation of inappropriate content.
Unfortunately, such alignments are ... | 2023-11-15T23:52:05Z | null | null | null | Stealthy and Persistent Unalignment on Large Language Models via Backdoor Injections | ['Yuanpu Cao', 'Bochuan Cao', 'Jinghui Chen'] | 2,023 | North American Chapter of the Association for Computational Linguistics | 28 | 37 | ['Computer Science'] |
2,312.00063 | MoMask: Generative Masked Modeling of 3D Human Motions | ['Chuan Guo', 'Yuxuan Mu', 'Muhammad Gohar Javed', 'Sen Wang', 'Li Cheng'] | ['cs.CV'] | We introduce MoMask, a novel masked modeling framework for text-driven 3D
human motion generation. In MoMask, a hierarchical quantization scheme is
employed to represent human motion as multi-layer discrete motion tokens with
high-fidelity details. Starting at the base layer, with a sequence of motion
tokens obtained b... | 2023-11-29T19:04:10Z | Project webpage: https://ericguo5513.github.io/momask/ | null | null | null | null | null | null | null | null | null |
2,312.00081 | Synthesize, Diagnose, and Optimize: Towards Fine-Grained Vision-Language
Understanding | ['Wujian Peng', 'Sicheng Xie', 'Zuyao You', 'Shiyi Lan', 'Zuxuan Wu'] | ['cs.CV'] | Vision language models (VLM) have demonstrated remarkable performance across
various downstream tasks. However, understanding fine-grained visual-linguistic
concepts, such as attributes and inter-object relationships, remains a
significant challenge. While several benchmarks aim to evaluate VLMs in finer
granularity, t... | 2023-11-30T03:20:37Z | Accepted by CVPR 2024 | null | null | null | null | null | null | null | null | null |
2,312.0033 | StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style
Adapter | ['Gongye Liu', 'Menghan Xia', 'Yong Zhang', 'Haoxin Chen', 'Jinbo Xing', 'Yibo Wang', 'Xintao Wang', 'Yujiu Yang', 'Ying Shan'] | ['cs.CV', 'cs.AI'] | Text-to-video (T2V) models have shown remarkable capabilities in generating
diverse videos. However, they struggle to produce user-desired stylized videos
due to (i) text's inherent clumsiness in expressing specific styles and (ii)
the generally degraded style fidelity. To address these challenges, we
introduce StyleCr... | 2023-12-01T03:53:21Z | SIGGRAPH Asia 2024 (Journal Track). Project:
https://gongyeliu.github.io/StyleCrafter.github.io/ ; GitHub:
https://github.com/GongyeLiu/StyleCrafter | null | null | null | null | null | null | null | null | null |
2,312.00357 | A Generalizable Deep Learning System for Cardiac MRI | ['Rohan Shad', 'Cyril Zakka', 'Dhamanpreet Kaur', 'Robyn Fong', 'Ross Warren Filice', 'John Mongan', 'Kimberly Kalianos', 'Nishith Khandwala', 'David Eng', 'Matthew Leipzig', 'Walter Witschey', 'Alejandro de Feria', 'Victor Ferrari', 'Euan Ashley', 'Michael A. Acker', 'Curtis Langlotz', 'William Hiesinger'] | ['eess.IV', 'cs.CV', 'cs.LG', 'I.2.10'] | Cardiac MRI allows for a comprehensive assessment of myocardial structure,
function, and tissue characteristics. Here we describe a foundational vision
system for cardiac MRI, capable of representing the breadth of human
cardiovascular disease and health. Our deep learning model is trained via
self-supervised contrasti... | 2023-12-01T05:27:29Z | 21 page main manuscript, 4 figures. Supplementary Appendix and code
will be made available on publication | null | null | null | null | null | null | null | null | null |
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