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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2,412.09871 | Byte Latent Transformer: Patches Scale Better Than Tokens | ['Artidoro Pagnoni', 'Ram Pasunuru', 'Pedro Rodriguez', 'John Nguyen', 'Benjamin Muller', 'Margaret Li', 'Chunting Zhou', 'Lili Yu', 'Jason Weston', 'Luke Zettlemoyer', 'Gargi Ghosh', 'Mike Lewis', 'Ari Holtzman', 'Srinivasan Iyer'] | ['cs.CL'] | We introduce the Byte Latent Transformer (BLT), a new byte-level LLM
architecture that, for the first time, matches tokenization-based LLM
performance at scale with significant improvements in inference efficiency and
robustness. BLT encodes bytes into dynamically sized patches, which serve as
the primary units of comp... | 2024-12-13T05:33:32Z | null | null | null | Byte Latent Transformer: Patches Scale Better Than Tokens | ['Artidoro Pagnoni', 'Ramakanth Pasunuru', 'Pedro Rodriguez', 'John Nguyen', 'Benjamin Muller', 'Margaret Li', 'Chunting Zhou', 'Lili Yu', 'Jason Weston', 'Luke S. Zettlemoyer', 'Gargi Ghosh', 'Mike Lewis', 'Ari Holtzman', 'Srinivasan Iyer'] | 2,024 | arXiv.org | 30 | 0 | ['Computer Science'] |
2,412.09951 | WiseAD: Knowledge Augmented End-to-End Autonomous Driving with
Vision-Language Model | ['Songyan Zhang', 'Wenhui Huang', 'Zihui Gao', 'Hao Chen', 'Chen Lv'] | ['cs.CV'] | The emergence of general human knowledge and impressive logical reasoning
capacity in rapidly progressed vision-language models (VLMs) have driven
increasing interest in applying VLMs to high-level autonomous driving tasks,
such as scene understanding and decision-making. However, an in-depth study on
the relationship ... | 2024-12-13T08:14:24Z | null | null | null | null | null | null | null | null | null | null |
2,412.09957 | Romanized to Native Malayalam Script Transliteration Using an
Encoder-Decoder Framework | ['Bajiyo Baiju', 'Kavya Manohar', 'Leena G Pillai', 'Elizabeth Sherly'] | ['cs.CL'] | In this work, we present the development of a reverse transliteration model
to convert romanized Malayalam to native script using an encoder-decoder
framework built with attention-based bidirectional Long Short Term Memory
(Bi-LSTM) architecture. To train the model, we have used curated and combined
collection of 4.3 m... | 2024-12-13T08:33:26Z | 5 pages | null | null | null | null | null | null | null | null | null |
2,412.10028 | Mr. DETR++: Instructive Multi-Route Training for Detection Transformers
with Mixture-of-Experts | ['Chang-Bin Zhang', 'Yujie Zhong', 'Kai Han'] | ['cs.CV'] | Existing methods enhance the training of detection transformers by
incorporating an auxiliary one-to-many assignment. In this work, we treat the
model as a multi-task framework, simultaneously performing one-to-one and
one-to-many predictions. We investigate the roles of each component in the
transformer decoder across... | 2024-12-13T10:39:27Z | Under review. Extended version of our CVPR 2025 paper, see
arXiv:2412.10028v3 | null | null | null | null | null | null | null | null | null |
2,412.10117 | CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language
Models | ['Zhihao Du', 'Yuxuan Wang', 'Qian Chen', 'Xian Shi', 'Xiang Lv', 'Tianyu Zhao', 'Zhifu Gao', 'Yexin Yang', 'Changfeng Gao', 'Hui Wang', 'Fan Yu', 'Huadai Liu', 'Zhengyan Sheng', 'Yue Gu', 'Chong Deng', 'Wen Wang', 'Shiliang Zhang', 'Zhijie Yan', 'Jingren Zhou'] | ['cs.SD', 'cs.AI', 'cs.LG', 'eess.AS'] | In our previous work, we introduced CosyVoice, a multilingual speech
synthesis model based on supervised discrete speech tokens. By employing
progressive semantic decoding with two popular generative models, language
models (LMs) and Flow Matching, CosyVoice demonstrated high prosody
naturalness, content consistency, a... | 2024-12-13T12:59:39Z | Tech report, work in progress | null | null | null | null | null | null | null | null | null |
2,412.10151 | VLR-Bench: Multilingual Benchmark Dataset for Vision-Language Retrieval
Augmented Generation | ['Hyeonseok Lim', 'Dongjae Shin', 'Seohyun Song', 'Inho Won', 'Minjun Kim', 'Junghun Yuk', 'Haneol Jang', 'KyungTae Lim'] | ['cs.CV', 'cs.AI', 'cs.CL'] | We propose the VLR-Bench, a visual question answering (VQA) benchmark for
evaluating vision language models (VLMs) based on retrieval augmented
generation (RAG). Unlike existing evaluation datasets for external
knowledge-based VQA, the proposed VLR-Bench includes five input passages. This
allows testing of the ability ... | 2024-12-13T14:11:26Z | The 31st International Conference on Computational Linguistics
(COLING 2025), 19 pages | null | null | VLR-Bench: Multilingual Benchmark Dataset for Vision-Language Retrieval Augmented Generation | ['HyeonSeok Lim', 'Dongjae Shin', 'Seohyun Song', 'Inho Won', 'Minjun Kim', 'Junghun Yuk', 'Haneol Jang', 'KyungTae Lim'] | 2,024 | arXiv.org | 1 | 0 | ['Computer Science'] |
2,412.10193 | Simple Guidance Mechanisms for Discrete Diffusion Models | ['Yair Schiff', 'Subham Sekhar Sahoo', 'Hao Phung', 'Guanghan Wang', 'Sam Boshar', 'Hugo Dalla-torre', 'Bernardo P. de Almeida', 'Alexander Rush', 'Thomas Pierrot', 'Volodymyr Kuleshov'] | ['cs.LG'] | Diffusion models for continuous data gained widespread adoption owing to
their high quality generation and control mechanisms. However, controllable
diffusion on discrete data faces challenges given that continuous guidance
methods do not directly apply to discrete diffusion. Here, we provide a
straightforward derivati... | 2024-12-13T15:08:30Z | ICLR 2025; Code to reproduce our experiments is available here:
https://github.com/kuleshov-group/discrete-diffusion-guidance | null | null | null | null | null | null | null | null | null |
2,412.10255 | AniSora: Exploring the Frontiers of Animation Video Generation in the
Sora Era | ['Yudong Jiang', 'Baohan Xu', 'Siqian Yang', 'Mingyu Yin', 'Jing Liu', 'Chao Xu', 'Siqi Wang', 'Yidi Wu', 'Bingwen Zhu', 'Xinwen Zhang', 'Xingyu Zheng', 'Jixuan Xu', 'Yue Zhang', 'Jinlong Hou', 'Huyang Sun'] | ['cs.GR', 'cs.AI'] | Animation has gained significant interest in the recent film and TV industry.
Despite the success of advanced video generation models like Sora, Kling, and
CogVideoX in generating natural videos, they lack the same effectiveness in
handling animation videos. Evaluating animation video generation is also a
great challen... | 2024-12-13T16:24:58Z | null | null | null | null | null | null | null | null | null | null |
2,412.10302 | DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced
Multimodal Understanding | ['Zhiyu Wu', 'Xiaokang Chen', 'Zizheng Pan', 'Xingchao Liu', 'Wen Liu', 'Damai Dai', 'Huazuo Gao', 'Yiyang Ma', 'Chengyue Wu', 'Bingxuan Wang', 'Zhenda Xie', 'Yu Wu', 'Kai Hu', 'Jiawei Wang', 'Yaofeng Sun', 'Yukun Li', 'Yishi Piao', 'Kang Guan', 'Aixin Liu', 'Xin Xie', 'Yuxiang You', 'Kai Dong', 'Xingkai Yu', 'Haowei Z... | ['cs.CV', 'cs.AI', 'cs.CL'] | We present DeepSeek-VL2, an advanced series of large Mixture-of-Experts (MoE)
Vision-Language Models that significantly improves upon its predecessor,
DeepSeek-VL, through two key major upgrades. For the vision component, we
incorporate a dynamic tiling vision encoding strategy designed for processing
high-resolution i... | 2024-12-13T17:37:48Z | null | null | null | DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding | ['Zhiyu Wu', 'Xi-aokang Chen', 'Zizheng Pan', 'Xingchao Liu', 'Wen Liu', 'Damai Dai', 'Huazuo Gao', 'Yiyang Ma', 'Chengyue Wu', 'Bing-Li Wang', 'Zhenda Xie', 'Yu Wu', 'Kai Hu', 'Jiawei Wang', 'Yaofeng Sun', 'Yukun Li', 'Yishi Piao', 'Kang Guan', 'A. Liu', 'Xin Xie', 'Yu-mei You', 'Kaihong Dong', 'Xingkai Yu', 'Haowei Z... | 2,024 | arXiv.org | 161 | 0 | ['Computer Science'] |
2,412.10316 | BrushEdit: All-In-One Image Inpainting and Editing | ['Yaowei Li', 'Yuxuan Bian', 'Xuan Ju', 'Zhaoyang Zhang', 'Junhao Zhuang', 'Ying Shan', 'Yuexian Zou', 'Qiang Xu'] | ['cs.CV', 'cs.AI'] | Image editing has advanced significantly with the development of diffusion
models using both inversion-based and instruction-based methods. However,
current inversion-based approaches struggle with big modifications (e.g.,
adding or removing objects) due to the structured nature of inversion noise,
which hinders substa... | 2024-12-13T17:58:06Z | WebPage available at
https://liyaowei-stu.github.io/project/BrushEdit/ | null | null | null | null | null | null | null | null | null |
2,412.10337 | Generative AI in Medicine | ['Divya Shanmugam', 'Monica Agrawal', 'Rajiv Movva', 'Irene Y. Chen', 'Marzyeh Ghassemi', 'Maia Jacobs', 'Emma Pierson'] | ['cs.LG', 'cs.AI', 'cs.CY', 'cs.HC'] | The increased capabilities of generative AI have dramatically expanded its
possible use cases in medicine. We provide a comprehensive overview of
generative AI use cases for clinicians, patients, clinical trial organizers,
researchers, and trainees. We then discuss the many challenges -- including
maintaining privacy a... | 2024-12-13T18:32:21Z | To appear in the Annual Review of Biomedical Data Science, August
2025 | null | null | null | null | null | null | null | null | null |
2,412.10345 | TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for
Generalist Robotic Policies | ['Ruijie Zheng', 'Yongyuan Liang', 'Shuaiyi Huang', 'Jianfeng Gao', 'Hal Daumé III', 'Andrey Kolobov', 'Furong Huang', 'Jianwei Yang'] | ['cs.RO', 'cs.AI'] | Although large vision-language-action (VLA) models pretrained on extensive
robot datasets offer promising generalist policies for robotic learning, they
still struggle with spatial-temporal dynamics in interactive robotics, making
them less effective in handling complex tasks, such as manipulation. In this
work, we int... | 2024-12-13T18:40:51Z | null | null | null | null | null | null | null | null | null | null |
2,412.1036 | Apollo: An Exploration of Video Understanding in Large Multimodal Models | ['Orr Zohar', 'Xiaohan Wang', 'Yann Dubois', 'Nikhil Mehta', 'Tong Xiao', 'Philippe Hansen-Estruch', 'Licheng Yu', 'Xiaofang Wang', 'Felix Juefei-Xu', 'Ning Zhang', 'Serena Yeung-Levy', 'Xide Xia'] | ['cs.CV', 'cs.AI'] | Despite the rapid integration of video perception capabilities into Large
Multimodal Models (LMMs), the underlying mechanisms driving their video
understanding remain poorly understood. Consequently, many design decisions in
this domain are made without proper justification or analysis. The high
computational cost of t... | 2024-12-13T18:53:24Z | https://apollo-lmms.github.io | null | null | Apollo: An Exploration of Video Understanding in Large Multimodal Models | ['Orr Zohar', 'Xiaohan Wang', 'Yann Dubois', 'Nikhil Mehta', 'Tong Xiao', 'Philippe Hansen-Estruch', 'Licheng Yu', 'Xiaofang Wang', 'Felix Juefei-Xu', 'Ning Zhang', 'S. Yeung-Levy', 'Xide Xia'] | 2,024 | arXiv.org | 28 | 0 | ['Computer Science'] |
2,412.10893 | BgGPT 1.0: Extending English-centric LLMs to other languages | ['Anton Alexandrov', 'Veselin Raychev', 'Dimitar I. Dimitrov', 'Ce Zhang', 'Martin Vechev', 'Kristina Toutanova'] | ['cs.CL', 'cs.AI', 'cs.LG'] | We present BgGPT-Gemma-2-27B-Instruct and BgGPT-Gemma-2-9B-Instruct:
continually pretrained and fine-tuned versions of Google's Gemma-2 models,
specifically optimized for Bulgarian language understanding and generation.
Leveraging Gemma-2's multilingual capabilities and over 100 billion tokens of
Bulgarian and English ... | 2024-12-14T16:49:52Z | null | null | null | null | null | null | null | null | null | null |
2,412.11376 | ChatTime: A Unified Multimodal Time Series Foundation Model Bridging
Numerical and Textual Data | ['Chengsen Wang', 'Qi Qi', 'Jingyu Wang', 'Haifeng Sun', 'Zirui Zhuang', 'Jinming Wu', 'Lei Zhang', 'Jianxin Liao'] | ['cs.CL', 'cs.LG'] | Human experts typically integrate numerical and textual multimodal
information to analyze time series. However, most traditional deep learning
predictors rely solely on unimodal numerical data, using a fixed-length window
for training and prediction on a single dataset, and cannot adapt to different
scenarios. The powe... | 2024-12-16T02:04:06Z | Accepted by AAAI 2025 | null | null | null | null | null | null | null | null | null |
2,412.11439 | Bayesian Flow Is All You Need to Sample Out-of-Distribution Chemical
Spaces | ['Nianze Tao'] | ['cs.LG', 'cs.AI', 'physics.chem-ph'] | Generating novel molecules with higher properties than the training space,
namely the out-of-distribution generation, is important for ${de~novo}$ drug
design. However, it is not easy for distribution learning-based models, for
example diffusion models, to solve this challenge as these methods are designed
to fit the d... | 2024-12-16T04:43:54Z | 27 pages, 10 figures, 8 tables | null | null | null | null | null | null | null | null | null |
2,412.11475 | OmniVLM: A Token-Compressed, Sub-Billion-Parameter Vision-Language Model
for Efficient On-Device Inference | ['Wei Chen', 'Zhiyuan Li', 'Shuo Xin'] | ['cs.CV'] | We present OmniVLM, a sub-billion-parameter vision-language model for
efficient on-device inference. OmniVLM introduces a token compression mechanism
that reduces visual token sequence length from 729 to 81 tokens, significantly
reducing computational overhead while preserving visual-semantic fidelity.
Through a multi-... | 2024-12-16T06:38:00Z | null | null | null | null | null | null | null | null | null | null |
2,412.11538 | MERaLiON-SpeechEncoder: Towards a Speech Foundation Model for Singapore
and Beyond | ['Muhammad Huzaifah', 'Geyu Lin', 'Tianchi Liu', 'Hardik B. Sailor', 'Kye Min Tan', 'Tarun K. Vangani', 'Qiongqiong Wang', 'Jeremy H. M. Wong', 'Nancy F. Chen', 'Ai Ti Aw'] | ['cs.CL', 'cs.AI', 'eess.AS'] | This technical report describes the MERaLiON-SpeechEncoder, a foundation
model designed to support a wide range of downstream speech applications.
Developed as part of Singapore's National Multimodal Large Language Model
Programme, the MERaLiON-SpeechEncoder is tailored to address the speech
processing needs in Singapo... | 2024-12-16T08:15:19Z | null | null | null | MERaLiON-SpeechEncoder: Towards a Speech Foundation Model for Singapore and Beyond | ['M. Huzaifah', 'Tianchi Liu', 'Hardik B. Sailor', 'Kye Min Tan', 'T. K. Vangani', 'Qiongqiong Wang', 'Jeremy H. M. Wong', 'Nancy F. Chen', 'AiTi Aw'] | 2,024 | arXiv.org | 2 | 36 | ['Computer Science', 'Engineering'] |
2,412.11618 | EvoLlama: Enhancing LLMs' Understanding of Proteins via Multimodal
Structure and Sequence Representations | ['Nuowei Liu', 'Changzhi Sun', 'Tao Ji', 'Junfeng Tian', 'Jianxin Tang', 'Yuanbin Wu', 'Man Lan'] | ['cs.LG', 'cs.AI'] | Current Large Language Models (LLMs) for understanding proteins primarily
treats amino acid sequences as a text modality. Meanwhile, Protein Language
Models (PLMs), such as ESM-2, have learned massive sequential evolutionary
knowledge from the universe of natural protein sequences. Furthermore,
structure-based encoders... | 2024-12-16T10:01:33Z | null | null | null | null | null | null | null | null | null | null |
2,412.11699 | CoinMath: Harnessing the Power of Coding Instruction for Math LLMs | ['Chengwei Wei', 'Bin Wang', 'Jung-jae Kim', 'Guimei Liu', 'Nancy F. Chen'] | ['cs.CL'] | Large Language Models (LLMs) have shown strong performance in solving
mathematical problems, with code-based solutions proving particularly
effective. However, the best practice to leverage coding instruction data to
enhance mathematical reasoning remains underexplored. This study investigates
three key questions: (1) ... | 2024-12-16T12:21:11Z | null | null | null | null | null | null | null | null | null | null |
2,412.11704 | ElChat: Adapting Chat Language Models Using Only Target Unlabeled
Language Data | ['Atsuki Yamaguchi', 'Terufumi Morishita', 'Aline Villavicencio', 'Nikolaos Aletras'] | ['cs.CL', 'cs.AI'] | Vocabulary expansion (VE) is the de-facto approach to language adaptation of
large language models (LLMs) by adding new tokens and continuing pre-training
on target data. While this is effective for base models trained on unlabeled
data, it poses challenges for chat models trained to follow instructions
through labeled... | 2024-12-16T12:26:28Z | null | null | null | null | null | null | null | null | null | null |
2,412.11755 | Generative Inbetweening through Frame-wise Conditions-Driven Video
Generation | ['Tianyi Zhu', 'Dongwei Ren', 'Qilong Wang', 'Xiaohe Wu', 'Wangmeng Zuo'] | ['cs.CV'] | Generative inbetweening aims to generate intermediate frame sequences by
utilizing two key frames as input. Although remarkable progress has been made
in video generation models, generative inbetweening still faces challenges in
maintaining temporal stability due to the ambiguous interpolation path between
two key fram... | 2024-12-16T13:19:41Z | null | null | null | Generative Inbetweening through Frame-wise Conditions-Driven Video Generation | ['Tianyi Zhu', 'Dongwei Ren', 'Qilong Wang', 'Xiaohe Wu', 'Wangmeng Zuo'] | 2,024 | arXiv.org | 3 | 62 | ['Computer Science'] |
2,412.11785 | InterDyn: Controllable Interactive Dynamics with Video Diffusion Models | ['Rick Akkerman', 'Haiwen Feng', 'Michael J. Black', 'Dimitrios Tzionas', 'Victoria Fernández Abrevaya'] | ['cs.CV'] | Predicting the dynamics of interacting objects is essential for both humans
and intelligent systems. However, existing approaches are limited to
simplified, toy settings and lack generalizability to complex, real-world
environments. Recent advances in generative models have enabled the prediction
of state transitions b... | 2024-12-16T13:57:02Z | null | null | null | null | null | null | null | null | null | null |
2,412.11815 | ColorFlow: Retrieval-Augmented Image Sequence Colorization | ['Junhao Zhuang', 'Xuan Ju', 'Zhaoyang Zhang', 'Yong Liu', 'Shiyi Zhang', 'Chun Yuan', 'Ying Shan'] | ['cs.CV'] | Automatic black-and-white image sequence colorization while preserving
character and object identity (ID) is a complex task with significant market
demand, such as in cartoon or comic series colorization. Despite advancements
in visual colorization using large-scale generative models like diffusion
models, challenges w... | 2024-12-16T14:32:49Z | Project Page: https://zhuang2002.github.io/ColorFlow/ | null | null | ColorFlow: Retrieval-Augmented Image Sequence Colorization | ['Junhao Zhuang', 'Xu Ju', 'Zhaoyang Zhang', 'Yong Liu', 'Shiyi Zhang', 'Chun Yuan', 'Ying Shan'] | 2,024 | arXiv.org | 1 | 84 | ['Computer Science'] |
2,412.11834 | Wonderful Matrices: Combining for a More Efficient and Effective
Foundation Model Architecture | ['Jingze Shi', 'Bingheng Wu'] | ['cs.LG', 'cs.AI', 'cs.CL'] | In order to make the foundation model more efficient and effective, our idea
is combining sequence transformation and state transformation. First, we prove
the availability of rotary position embedding in the state space duality
algorithm, which reduces the perplexity of the hybrid quadratic causal
self-attention and s... | 2024-12-16T14:56:28Z | The code is open-sourced at
https://github.com/LoserCheems/WonderfulMatrices | null | null | null | null | null | null | null | null | null |
2,412.11863 | GeoX: Geometric Problem Solving Through Unified Formalized
Vision-Language Pre-training | ['Renqiu Xia', 'Mingsheng Li', 'Hancheng Ye', 'Wenjie Wu', 'Hongbin Zhou', 'Jiakang Yuan', 'Tianshuo Peng', 'Xinyu Cai', 'Xiangchao Yan', 'Bin Wang', 'Conghui He', 'Botian Shi', 'Tao Chen', 'Junchi Yan', 'Bo Zhang'] | ['cs.CV', 'cs.CL'] | Despite their proficiency in general tasks, Multi-modal Large Language Models
(MLLMs) struggle with automatic Geometry Problem Solving (GPS), which demands
understanding diagrams, interpreting symbols, and performing complex reasoning.
This limitation arises from their pre-training on natural images and texts,
along wi... | 2024-12-16T15:20:03Z | Our code is available at https://github.com/Alpha-Innovator/GeoX | null | null | null | null | null | null | null | null | null |
2,412.11912 | CharacterBench: Benchmarking Character Customization of Large Language
Models | ['Jinfeng Zhou', 'Yongkang Huang', 'Bosi Wen', 'Guanqun Bi', 'Yuxuan Chen', 'Pei Ke', 'Zhuang Chen', 'Xiyao Xiao', 'Libiao Peng', 'Kuntian Tang', 'Rongsheng Zhang', 'Le Zhang', 'Tangjie Lv', 'Zhipeng Hu', 'Hongning Wang', 'Minlie Huang'] | ['cs.CL'] | Character-based dialogue (aka role-playing) enables users to freely customize
characters for interaction, which often relies on LLMs, raising the need to
evaluate LLMs' character customization capability. However, existing benchmarks
fail to ensure a robust evaluation as they often only involve a single
character categ... | 2024-12-16T15:55:34Z | AAAI 2025 | null | null | null | null | null | null | null | null | null |
2,412.1194 | The Impact of Token Granularity on the Predictive Power of Language
Model Surprisal | ['Byung-Doh Oh', 'William Schuler'] | ['cs.CL'] | Word-by-word language model surprisal is often used to model the incremental
processing of human readers, which raises questions about how various choices
in language modeling influence its predictive power. One factor that has been
overlooked in cognitive modeling is the granularity of subword tokens, which
explicitly... | 2024-12-16T16:24:58Z | ACL 2025; results with Natural Stories alignment issue corrected
(commit 4700daa) | null | null | null | null | null | null | null | null | null |
2,412.11948 | OpenReviewer: A Specialized Large Language Model for Generating Critical
Scientific Paper Reviews | ['Maximilian Idahl', 'Zahra Ahmadi'] | ['cs.AI'] | We present OpenReviewer, an open-source system for generating high-quality
peer reviews of machine learning and AI conference papers. At its core is
Llama-OpenReviewer-8B, an 8B parameter language model specifically fine-tuned
on 79,000 expert reviews from top conferences. Given a PDF paper submission and
review templa... | 2024-12-16T16:31:00Z | NAACL 2025 System Demonstrations Track (Camera-ready version) Demo:
https://huggingface.co/spaces/maxidl/openreviewer Model:
https://huggingface.co/maxidl/Llama-OpenReviewer-8B | null | null | null | null | null | null | null | null | null |
2,412.11974 | Emma-X: An Embodied Multimodal Action Model with Grounded Chain of
Thought and Look-ahead Spatial Reasoning | ['Qi Sun', 'Pengfei Hong', 'Tej Deep Pala', 'Vernon Toh', 'U-Xuan Tan', 'Deepanway Ghosal', 'Soujanya Poria'] | ['cs.RO', 'cs.AI', 'cs.CL', 'cs.CV'] | Traditional reinforcement learning-based robotic control methods are often
task-specific and fail to generalize across diverse environments or unseen
objects and instructions. Visual Language Models (VLMs) demonstrate strong
scene understanding and planning capabilities but lack the ability to generate
actionable polic... | 2024-12-16T16:58:28Z | https://github.com/declare-lab/Emma-X,
https://huggingface.co/declare-lab/Emma-X | null | null | null | null | null | null | null | null | null |
2,412.12032 | FSFM: A Generalizable Face Security Foundation Model via Self-Supervised
Facial Representation Learning | ['Gaojian Wang', 'Feng Lin', 'Tong Wu', 'Zhenguang Liu', 'Zhongjie Ba', 'Kui Ren'] | ['cs.CV', 'cs.AI'] | This work asks: with abundant, unlabeled real faces, how to learn a robust
and transferable facial representation that boosts various face security tasks
with respect to generalization performance? We make the first attempt and
propose a self-supervised pretraining framework to learn fundamental
representations of real... | 2024-12-16T17:58:45Z | 21 pages, 11 figures, project page: https://fsfm-3c.github.io | null | null | FSFM: A Generalizable Face Security Foundation Model via Self-Supervised Facial Representation Learning | ['Gaojian Wang', 'Feng Lin', 'Tong Wu', 'Zhenguang Liu', 'Zhongjie Ba', 'Kui Ren'] | 2,024 | arXiv.org | 0 | 136 | ['Computer Science'] |
2,412.12094 | SepLLM: Accelerate Large Language Models by Compressing One Segment into
One Separator | ['Guoxuan Chen', 'Han Shi', 'Jiawei Li', 'Yihang Gao', 'Xiaozhe Ren', 'Yimeng Chen', 'Xin Jiang', 'Zhenguo Li', 'Weiyang Liu', 'Chao Huang'] | ['cs.CL', 'cs.AI', 'cs.LG'] | Large Language Models (LLMs) have exhibited exceptional performance across a
spectrum of natural language processing tasks. However, their substantial sizes
pose considerable challenges, particularly in computational demands and
inference speed, due to their quadratic complexity. In this work, we have
identified a key ... | 2024-12-16T18:58:57Z | Accepted to ICML 2025 | null | null | SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator | ['Guoxuan Chen', 'Han Shi', 'Jiawei Li', 'Yihang Gao', 'Xiaozhe Ren', 'Yimeng Chen', 'Xin Jiang', 'Zhenguo Li', 'Weiyang Liu', 'Chao Huang'] | 2,024 | arXiv.org | 11 | 46 | ['Computer Science'] |
2,412.12225 | DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis | ['Pan Wang', 'Qiang Zhou', 'Yawen Wu', 'Tianlong Chen', 'Jingtong Hu'] | ['cs.LG', 'cs.AI', 'cs.CL', 'cs.MM'] | Multimodal Sentiment Analysis (MSA) leverages heterogeneous modalities, such
as language, vision, and audio, to enhance the understanding of human
sentiment. While existing models often focus on extracting shared information
across modalities or directly fusing heterogeneous modalities, such approaches
can introduce re... | 2024-12-16T10:03:44Z | AAAI 2025 accepted | null | null | DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis | ['Pan Wang', 'Qiang Zhou', 'Yawen Wu', 'Tianlong Chen', 'Jingtong Hu'] | 2,024 | AAAI Conference on Artificial Intelligence | 3 | 42 | ['Computer Science'] |
2,412.12318 | Graph-Guided Textual Explanation Generation Framework | ['Shuzhou Yuan', 'Jingyi Sun', 'Ran Zhang', 'Michael Färber', 'Steffen Eger', 'Pepa Atanasova', 'Isabelle Augenstein'] | ['cs.CL'] | Natural language explanations (NLEs) are commonly used to provide plausible
free-text explanations of a model's reasoning about its predictions. However,
recent work has questioned their faithfulness, as they may not accurately
reflect the model's internal reasoning process regarding its predicted answer.
In contrast, ... | 2024-12-16T19:35:55Z | null | null | null | null | null | null | null | null | null | null |
2,412.12345 | Critical groups and partitions of finite groups | ['Daniela Bubboloni', 'Nicolas Pinzauti'] | ['math.GR', 'math.CO', '05C25, 20D99, 06A15'] | We define a class of finite groups based on the properties of the closed
twins of their power graphs and study the structure of those groups. As a
byproduct, we obtain results about finite groups admitting a partition by
cyclic subgroups. | 2024-12-16T20:39:39Z | null | null | null | null | null | null | null | null | null | null |
2,412.12505 | DocFusion: A Unified Framework for Document Parsing Tasks | ['Mingxu Chai', 'Ziyu Shen', 'Chong Zhang', 'Yue Zhang', 'Xiao Wang', 'Shihan Dou', 'Jihua Kang', 'Jiazheng Zhang', 'Qi Zhang'] | ['cs.CL'] | Document parsing is essential for analyzing complex document structures and
extracting fine-grained information, supporting numerous downstream
applications. However, existing methods often require integrating multiple
independent models to handle various parsing tasks, leading to high complexity
and maintenance overhe... | 2024-12-17T03:20:00Z | null | null | null | null | null | null | null | null | null | null |
2,412.12559 | EXIT: Context-Aware Extractive Compression for Enhancing
Retrieval-Augmented Generation | ['Taeho Hwang', 'Sukmin Cho', 'Soyeong Jeong', 'Hoyun Song', 'SeungYoon Han', 'Jong C. Park'] | ['cs.CL', 'cs.AI', 'cs.IR'] | We introduce EXIT, an extractive context compression framework that enhances
both the effectiveness and efficiency of retrieval-augmented generation (RAG)
in question answering (QA). Current RAG systems often struggle when retrieval
models fail to rank the most relevant documents, leading to the inclusion of
more conte... | 2024-12-17T05:38:27Z | Findings of ACL 2025 | null | null | null | null | null | null | null | null | null |
2,412.12627 | Make Imagination Clearer! Stable Diffusion-based Visual Imagination for
Multimodal Machine Translation | ['Andong Chen', 'Yuchen Song', 'Kehai Chen', 'Muyun Yang', 'Tiejun Zhao', 'Min Zhang'] | ['cs.CL'] | Visual information has been introduced for enhancing machine translation
(MT), and its effectiveness heavily relies on the availability of large amounts
of bilingual parallel sentence pairs with manual image annotations. In this
paper, we introduce a stable diffusion-based imagination network into a
multimodal large la... | 2024-12-17T07:41:23Z | Work in progress | null | null | null | null | null | null | null | null | null |
2,412.12863 | DISC: Plug-and-Play Decoding Intervention with Similarity of Characters
for Chinese Spelling Check | ['Ziheng Qiao', 'Houquan Zhou', 'Yumeng Liu', 'Zhenghua Li', 'Min Zhang', 'Bo Zhang', 'Chen Li', 'Ji Zhang', 'Fei Huang'] | ['cs.CL', 'cs.AI'] | One key characteristic of the Chinese spelling check (CSC) task is that
incorrect characters are usually similar to the correct ones in either
phonetics or glyph. To accommodate this, previous works usually leverage
confusion sets, which suffer from two problems, i.e., difficulty in determining
which character pairs to... | 2024-12-17T12:44:06Z | null | null | null | DISC: Plug-and-Play Decoding Intervention with Similarity of Characters for Chinese Spelling Check | ['Ziheng Qiao', 'Houquan Zhou', 'Yumeng Liu', 'Zhenghua Li', 'Min Zhang', 'Bo Zhang', 'Chen Li', 'Ji Zhang', 'Fei Huang'] | 2,024 | arXiv.org | 0 | 24 | ['Computer Science'] |
2,412.12888 | ArtAug: Enhancing Text-to-Image Generation through
Synthesis-Understanding Interaction | ['Zhongjie Duan', 'Qianyi Zhao', 'Cen Chen', 'Daoyuan Chen', 'Wenmeng Zhou', 'Yaliang Li', 'Yingda Chen'] | ['cs.CV', 'cs.AI'] | The emergence of diffusion models has significantly advanced image synthesis.
The recent studies of model interaction and self-corrective reasoning approach
in large language models offer new insights for enhancing text-to-image models.
Inspired by these studies, we propose a novel method called ArtAug for
enhancing te... | 2024-12-17T13:12:31Z | 18 pages, 8 figures | null | null | null | null | null | null | null | null | null |
2,412.12953 | Efficient Diffusion Transformer Policies with Mixture of Expert
Denoisers for Multitask Learning | ['Moritz Reuss', 'Jyothish Pari', 'Pulkit Agrawal', 'Rudolf Lioutikov'] | ['cs.LG', 'cs.RO'] | Diffusion Policies have become widely used in Imitation Learning, offering
several appealing properties, such as generating multimodal and discontinuous
behavior. As models are becoming larger to capture more complex capabilities,
their computational demands increase, as shown by recent scaling laws.
Therefore, continu... | 2024-12-17T14:34:51Z | null | null | null | null | null | null | null | null | null | null |
2,412.13018 | OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in
Financial Domain | ['Shuting Wang', 'Jiejun Tan', 'Zhicheng Dou', 'Ji-Rong Wen'] | ['cs.CL'] | As a typical and practical application of Large Language Models (LLMs),
Retrieval-Augmented Generation (RAG) techniques have gained extensive
attention, particularly in vertical domains where LLMs may lack domain-specific
knowledge. In this paper, we introduce an omnidirectional and automatic RAG
benchmark, OmniEval, i... | 2024-12-17T15:38:42Z | null | null | null | OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain | ['Shuting Wang', 'Jiejun Tan', 'Zhicheng Dou', 'Ji-Rong Wen'] | 2,024 | arXiv.org | 7 | 0 | ['Computer Science'] |
2,412.13059 | 3D MedDiffusion: A 3D Medical Diffusion Model for Controllable and
High-quality Medical Image Generation | ['Haoshen Wang', 'Zhentao Liu', 'Kaicong Sun', 'Xiaodong Wang', 'Dinggang Shen', 'Zhiming Cui'] | ['eess.IV', 'cs.CV'] | The generation of medical images presents significant challenges due to their
high-resolution and three-dimensional nature. Existing methods often yield
suboptimal performance in generating high-quality 3D medical images, and there
is currently no universal generative framework for medical imaging. In this
paper, we in... | 2024-12-17T16:25:40Z | null | null | null | null | null | null | null | null | null | null |
2,412.13061 | VidTok: A Versatile and Open-Source Video Tokenizer | ['Anni Tang', 'Tianyu He', 'Junliang Guo', 'Xinle Cheng', 'Li Song', 'Jiang Bian'] | ['cs.CV', 'cs.AI', 'cs.LG'] | Encoding video content into compact latent tokens has become a fundamental
step in video generation and understanding, driven by the need to address the
inherent redundancy in pixel-level representations. Consequently, there is a
growing demand for high-performance, open-source video tokenizers as
video-centric researc... | 2024-12-17T16:27:11Z | Code & Models: https://github.com/microsoft/VidTok | null | null | null | null | null | null | null | null | null |
2,412.13071 | CLASP: Contrastive Language-Speech Pretraining for Multilingual
Multimodal Information Retrieval | ['Mohammad Mahdi Abootorabi', 'Ehsaneddin Asgari'] | ['cs.CL', 'cs.IR', 'cs.SD', 'eess.AS'] | This study introduces CLASP (Contrastive Language-Speech Pretraining), a
multilingual, multimodal representation tailored for audio-text information
retrieval. CLASP leverages the synergy between spoken content and textual data.
During training, we utilize our newly introduced speech-text dataset, which
encompasses 15 ... | 2024-12-17T16:38:10Z | accepted at ECIR 2025, 13 pages, 4 figures | null | null | null | null | null | null | null | null | null |
2,412.13126 | A Knowledge-enhanced Pathology Vision-language Foundation Model for
Cancer Diagnosis | ['Xiao Zhou', 'Luoyi Sun', 'Dexuan He', 'Wenbin Guan', 'Ruifen Wang', 'Lifeng Wang', 'Xin Sun', 'Kun Sun', 'Ya Zhang', 'Yanfeng Wang', 'Weidi Xie'] | ['eess.IV', 'cs.CV'] | Deep learning has enabled the development of highly robust foundation models
for various pathological tasks across diverse diseases and patient cohorts.
Among these models, vision-language pre-training, which leverages large-scale
paired data to align pathology image and text embedding spaces, and provides a
novel zero... | 2024-12-17T17:45:21Z | null | null | null | null | null | null | null | null | null | null |
2,412.13147 | Are Your LLMs Capable of Stable Reasoning? | ['Junnan Liu', 'Hongwei Liu', 'Linchen Xiao', 'Ziyi Wang', 'Kuikun Liu', 'Songyang Gao', 'Wenwei Zhang', 'Songyang Zhang', 'Kai Chen'] | ['cs.AI', 'cs.CL'] | The rapid advancement of large language models (LLMs) has shown remarkable
progress in complex reasoning tasks. However, a significant disparity exists
between benchmark performances and real-world applications. We attribute this
gap primarily to current evaluation protocols and metrics, which inadequately
capture the ... | 2024-12-17T18:12:47Z | ACL 2025 Camera | null | null | null | null | null | null | null | null | null |
2,412.13187 | HandsOnVLM: Vision-Language Models for Hand-Object Interaction
Prediction | ['Chen Bao', 'Jiarui Xu', 'Xiaolong Wang', 'Abhinav Gupta', 'Homanga Bharadhwaj'] | ['cs.CV', 'cs.LG'] | How can we predict future interaction trajectories of human hands in a scene
given high-level colloquial task specifications in the form of natural
language? In this paper, we extend the classic hand trajectory prediction task
to two tasks involving explicit or implicit language queries. Our proposed
tasks require exte... | 2024-12-17T18:58:33Z | Preprint. Under Review | null | null | null | null | null | null | null | null | null |
2,412.13194 | Proposer-Agent-Evaluator(PAE): Autonomous Skill Discovery For Foundation
Model Internet Agents | ['Yifei Zhou', 'Qianlan Yang', 'Kaixiang Lin', 'Min Bai', 'Xiong Zhou', 'Yu-Xiong Wang', 'Sergey Levine', 'Erran Li'] | ['cs.LG', 'cs.AI', 'cs.CV'] | The vision of a broadly capable and goal-directed agent, such as an
Internet-browsing agent in the digital world and a household humanoid in the
physical world, has rapidly advanced, thanks to the generalization capability
of foundation models. Such a generalist agent needs to have a large and diverse
skill repertoire,... | 2024-12-17T18:59:50Z | null | null | null | null | null | null | null | null | null | null |
2,412.13211 | ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home
Rearrangement Tasks | ['Arth Shukla', 'Stone Tao', 'Hao Su'] | ['cs.RO', 'cs.AI', 'cs.CV', 'cs.LG'] | High-quality benchmarks are the foundation for embodied AI research, enabling
significant advancements in long-horizon navigation, manipulation and
rearrangement tasks. However, as frontier tasks in robotics get more advanced,
they require faster simulation speed, more intricate test environments, and
larger demonstrat... | 2024-12-09T01:29:24Z | null | null | null | null | null | null | null | null | null | null |
2,412.13303 | FastVLM: Efficient Vision Encoding for Vision Language Models | ['Pavan Kumar Anasosalu Vasu', 'Fartash Faghri', 'Chun-Liang Li', 'Cem Koc', 'Nate True', 'Albert Antony', 'Gokul Santhanam', 'James Gabriel', 'Peter Grasch', 'Oncel Tuzel', 'Hadi Pouransari'] | ['cs.CV', 'cs.AI', 'cs.LG'] | Scaling the input image resolution is essential for enhancing the performance
of Vision Language Models (VLMs), particularly in text-rich image understanding
tasks. However, popular visual encoders such as ViTs become inefficient at high
resolutions due to the large number of tokens and high encoding latency caused
by ... | 2024-12-17T20:09:55Z | CVPR 2025 | null | null | FastVLM: Efficient Vision Encoding for Vision Language Models | ['Pavan Kumar Anasosalu Vasu', 'Fartash Faghri', 'Chun-Liang Li', 'Cem Koc', 'Nate True', 'Albert Antony', 'Gokul Santhanam', 'James Gabriel', 'Peter Grasch', 'Oncel Tuzel', 'Hadi Pouransari'] | 2,024 | arXiv.org | 9 | 90 | ['Computer Science'] |
2,412.13335 | Training Dynamics of a 1.7B LLaMa Model: A Data-Efficient Approach | ['Miles Q. Li', 'Benjamin C. M. Fung', 'Shih-Chia Huang'] | ['cs.CL', 'cs.AI'] | Pretraining large language models is a complex endeavor influenced by
multiple factors, including model architecture, data quality, training
continuity, and hardware constraints. In this paper, we share insights gained
from the experience of training DMaS-LLaMa-Lite, a fully open source,
1.7-billion-parameter, LLaMa-ba... | 2024-12-17T21:15:52Z | null | null | null | null | null | null | null | null | null | null |
2,412.13462 | SAVGBench: Benchmarking Spatially Aligned Audio-Video Generation | ['Kazuki Shimada', 'Christian Simon', 'Takashi Shibuya', 'Shusuke Takahashi', 'Yuki Mitsufuji'] | ['cs.SD', 'cs.MM', 'eess.AS'] | This work addresses the lack of multimodal generative models capable of
producing high-quality videos with spatially aligned audio. While recent
advancements in generative models have been successful in video generation,
they often overlook the spatial alignment between audio and visuals, which is
essential for immersi... | 2024-12-18T03:18:03Z | 5 pages, 3 figures | null | null | SAVGBench: Benchmarking Spatially Aligned Audio-Video Generation | ['Kazuki Shimada', 'Christian Simon', 'Takashi Shibuya', 'Shusuke Takahashi', 'Yuki Mitsufuji'] | 2,024 | arXiv.org | 0 | 0 | ['Computer Science', 'Engineering'] |
2,412.13663 | Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for
Fast, Memory Efficient, and Long Context Finetuning and Inference | ['Benjamin Warner', 'Antoine Chaffin', 'Benjamin Clavié', 'Orion Weller', 'Oskar Hallström', 'Said Taghadouini', 'Alexis Gallagher', 'Raja Biswas', 'Faisal Ladhak', 'Tom Aarsen', 'Nathan Cooper', 'Griffin Adams', 'Jeremy Howard', 'Iacopo Poli'] | ['cs.CL', 'cs.AI'] | Encoder-only transformer models such as BERT offer a great performance-size
tradeoff for retrieval and classification tasks with respect to larger
decoder-only models. Despite being the workhorse of numerous production
pipelines, there have been limited Pareto improvements to BERT since its
release. In this paper, we i... | 2024-12-18T09:39:44Z | null | null | null | null | null | null | null | null | null | null |
2,412.13702 | Typhoon 2: A Family of Open Text and Multimodal Thai Large Language
Models | ['Kunat Pipatanakul', 'Potsawee Manakul', 'Natapong Nitarach', 'Warit Sirichotedumrong', 'Surapon Nonesung', 'Teetouch Jaknamon', 'Parinthapat Pengpun', 'Pittawat Taveekitworachai', 'Adisai Na-Thalang', 'Sittipong Sripaisarnmongkol', 'Krisanapong Jirayoot', 'Kasima Tharnpipitchai'] | ['cs.CL', 'cs.AI'] | This paper introduces Typhoon 2, a series of text and multimodal large
language models optimized for the Thai language. The series includes models for
text, vision, and audio. Typhoon2-Text builds on state-of-the-art open models,
such as Llama 3 and Qwen2, and we perform continual pre-training on a mixture
of English a... | 2024-12-18T10:45:24Z | technical report, 55 pages | null | null | Typhoon 2: A Family of Open Text and Multimodal Thai Large Language Models | ['Kunat Pipatanakul', 'Potsawee Manakul', 'Natapong Nitarach', 'Warit Sirichotedumrong', 'Surapon Nonesung', 'Teetouch Jaknamon', 'Parinthapat Pengpun', 'Pittawat Taveekitworachai', 'Adisai Na-Thalang', 'Sittipong Sripaisarnmongkol', 'Krisanapong Jirayoot', 'Kasima Tharnpipitchai'] | 2,024 | arXiv.org | 2 | 0 | ['Computer Science'] |
2,412.1386 | Domain-adaptative Continual Learning for Low-resource Tasks: Evaluation
on Nepali | ['Sharad Duwal', 'Suraj Prasai', 'Suresh Manandhar'] | ['cs.CL', 'cs.LG'] | Continual learning has emerged as an important research direction due to the
infeasibility of retraining large language models (LLMs) from scratch in the
event of new data availability. Of great interest is the domain-adaptive
pre-training (DAPT) paradigm, which focuses on continually training a
pre-trained language mo... | 2024-12-18T13:53:59Z | 10 pages, 2 figures | null | null | Domain-adaptative Continual Learning for Low-resource Tasks: Evaluation on Nepali | ['Sharad Duwal', 'Suraj Prasai', 'Suresh Manandhar'] | 2,024 | arXiv.org | 1 | 44 | ['Computer Science'] |
2,412.13871 | LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via
Hierarchical Window Transformer | ['Yipeng Zhang', 'Yifan Liu', 'Zonghao Guo', 'Yidan Zhang', 'Xuesong Yang', 'Xiaoying Zhang', 'Chi Chen', 'Jun Song', 'Bo Zheng', 'Yuan Yao', 'Zhiyuan Liu', 'Tat-Seng Chua', 'Maosong Sun'] | ['cs.CV'] | Vision transformers (ViTs) are widely employed in multimodal large language
models (MLLMs) for visual encoding. However, they exhibit inferior performance
on tasks regarding fine-grained visual perception. We attribute this to the
limitations of ViTs in capturing diverse multi-modal visual levels, such as
low-level det... | 2024-12-18T14:07:46Z | null | null | null | null | null | null | null | null | null | null |
2,412.13922 | Pipeline Analysis for Developing Instruct LLMs in Low-Resource
Languages: A Case Study on Basque | ['Ander Corral', 'Ixak Sarasua', 'Xabier Saralegi'] | ['cs.CL', 'cs.AI', 'cs.LG'] | Large language models (LLMs) are typically optimized for resource-rich
languages like English, exacerbating the gap between high-resource and
underrepresented languages. This work presents a detailed analysis of
strategies for developing a model capable of following instructions in a
low-resource language, specifically... | 2024-12-18T15:05:59Z | null | null | null | null | null | null | null | null | null | null |
2,412.14042 | CAD-Recode: Reverse Engineering CAD Code from Point Clouds | ['Danila Rukhovich', 'Elona Dupont', 'Dimitrios Mallis', 'Kseniya Cherenkova', 'Anis Kacem', 'Djamila Aouada'] | ['cs.CV'] | Computer-Aided Design (CAD) models are typically constructed by sequentially
drawing parametric sketches and applying CAD operations to obtain a 3D model.
The problem of 3D CAD reverse engineering consists of reconstructing the sketch
and CAD operation sequences from 3D representations such as point clouds. In
this pap... | 2024-12-18T16:55:42Z | null | null | null | null | null | null | null | null | null | null |
2,412.14123 | AnySat: One Earth Observation Model for Many Resolutions, Scales, and
Modalities | ['Guillaume Astruc', 'Nicolas Gonthier', 'Clement Mallet', 'Loic Landrieu'] | ['cs.CV'] | Geospatial models must adapt to the diversity of Earth observation data in
terms of resolutions, scales, and modalities. However, existing approaches
expect fixed input configurations, which limits their practical applicability.
We propose AnySat, a multimodal model based on joint embedding predictive
architecture (JEP... | 2024-12-18T18:11:53Z | null | null | null | AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities | ['Guillaume Astruc', 'Nicolas Gonthier', 'Clement Mallet', 'Loic Landrieu'] | 2,024 | null | 15 | 81 | ['Computer Science'] |
2,412.14135 | Scaling of Search and Learning: A Roadmap to Reproduce o1 from
Reinforcement Learning Perspective | ['Zhiyuan Zeng', 'Qinyuan Cheng', 'Zhangyue Yin', 'Bo Wang', 'Shimin Li', 'Yunhua Zhou', 'Qipeng Guo', 'Xuanjing Huang', 'Xipeng Qiu'] | ['cs.AI', 'cs.LG'] | OpenAI o1 represents a significant milestone in Artificial Inteiligence,
which achieves expert-level performances on many challanging tasks that require
strong reasoning ability.OpenAI has claimed that the main techinique behinds o1
is the reinforcement learining. Recent works use alternative approaches like
knowledge ... | 2024-12-18T18:24:47Z | null | null | null | null | null | null | null | null | null | null |
2,412.1414 | GLIDER: Grading LLM Interactions and Decisions using Explainable Ranking | ['Darshan Deshpande', 'Selvan Sunitha Ravi', 'Sky CH-Wang', 'Bartosz Mielczarek', 'Anand Kannappan', 'Rebecca Qian'] | ['cs.CL', 'cs.AI'] | The LLM-as-judge paradigm is increasingly being adopted for automated
evaluation of model outputs. While LLM judges have shown promise on constrained
evaluation tasks, closed source LLMs display critical shortcomings when
deployed in real world applications due to challenges of fine grained metrics
and explainability, ... | 2024-12-18T18:41:12Z | null | null | null | null | null | null | null | null | null | null |
2,412.14158 | AKiRa: Augmentation Kit on Rays for optical video generation | ['Xi Wang', 'Robin Courant', 'Marc Christie', 'Vicky Kalogeiton'] | ['cs.CV', 'cs.AI', 'cs.MM'] | Recent advances in text-conditioned video diffusion have greatly improved
video quality. However, these methods offer limited or sometimes no control to
users on camera aspects, including dynamic camera motion, zoom, distorted lens
and focus shifts. These motion and optical aspects are crucial for adding
controllabilit... | 2024-12-18T18:53:22Z | null | null | null | null | null | null | null | null | null | null |
2,412.14169 | Autoregressive Video Generation without Vector Quantization | ['Haoge Deng', 'Ting Pan', 'Haiwen Diao', 'Zhengxiong Luo', 'Yufeng Cui', 'Huchuan Lu', 'Shiguang Shan', 'Yonggang Qi', 'Xinlong Wang'] | ['cs.CV'] | This paper presents a novel approach that enables autoregressive video
generation with high efficiency. We propose to reformulate the video generation
problem as a non-quantized autoregressive modeling of temporal frame-by-frame
prediction and spatial set-by-set prediction. Unlike raster-scan prediction in
prior autore... | 2024-12-18T18:59:53Z | Accepted to ICLR 2025. Project page at
https://github.com/baaivision/NOVA | null | null | Autoregressive Video Generation without Vector Quantization | ['Haoge Deng', 'Ting Pan', 'Haiwen Diao', 'Zhengxiong Luo', 'Yufeng Cui', 'Huchuan Lu', 'Shiguang Shan', 'Yonggang Qi', 'Xinlong Wang'] | 2,024 | arXiv.org | 31 | 0 | ['Computer Science'] |
2,412.14172 | Learning from Massive Human Videos for Universal Humanoid Pose Control | ['Jiageng Mao', 'Siheng Zhao', 'Siqi Song', 'Tianheng Shi', 'Junjie Ye', 'Mingtong Zhang', 'Haoran Geng', 'Jitendra Malik', 'Vitor Guizilini', 'Yue Wang'] | ['cs.RO', 'cs.AI', 'cs.CL', 'cs.CV'] | Scalable learning of humanoid robots is crucial for their deployment in
real-world applications. While traditional approaches primarily rely on
reinforcement learning or teleoperation to achieve whole-body control, they are
often limited by the diversity of simulated environments and the high costs of
demonstration col... | 2024-12-18T18:59:56Z | null | null | null | null | null | null | null | null | null | null |
2,412.14173 | AniDoc: Animation Creation Made Easier | ['Yihao Meng', 'Hao Ouyang', 'Hanlin Wang', 'Qiuyu Wang', 'Wen Wang', 'Ka Leong Cheng', 'Zhiheng Liu', 'Yujun Shen', 'Huamin Qu'] | ['cs.CV'] | The production of 2D animation follows an industry-standard workflow,
encompassing four essential stages: character design, keyframe animation,
in-betweening, and coloring. Our research focuses on reducing the labor costs
in the above process by harnessing the potential of increasingly powerful
generative AI. Using vid... | 2024-12-18T18:59:59Z | Project page and code: https://yihao-meng.github.io/AniDoc_demo | null | null | AniDoc: Animation Creation Made Easier | ['Yihao Meng', 'Ouyang Hao', 'Hanlin Wang', 'Qiuyu Wang', 'Wen Wang', 'Ka Leong Cheng', 'Zhiheng Liu', 'Yujun Shen', 'Huamin Qu'] | 2,024 | arXiv.org | 6 | 60 | ['Computer Science'] |
2,412.14197 | Advancing Vehicle Plate Recognition: Multitasking Visual Language Models
with VehiclePaliGemma | ['Nouar AlDahoul', 'Myles Joshua Toledo Tan', 'Raghava Reddy Tera', 'Hezerul Abdul Karim', 'Chee How Lim', 'Manish Kumar Mishra', 'Yasir Zaki'] | ['cs.CV', 'cs.LG'] | License plate recognition (LPR) involves automated systems that utilize
cameras and computer vision to read vehicle license plates. Such plates
collected through LPR can then be compared against databases to identify stolen
vehicles, uninsured drivers, crime suspects, and more. The LPR system plays a
significant role i... | 2024-12-14T16:22:10Z | 33 pages, 9 figures | null | null | Advancing Vehicle Plate Recognition: Multitasking Visual Language Models with VehiclePaliGemma | ['Nouar Aldahoul', 'M. J. Tan', 'Raghava Reddy Tera', 'Hezerul Bin Abdul Karim', 'Chee How Lim', 'Manish Kumar Mishra', 'Yasir Zaki'] | 2,024 | arXiv.org | 1 | 0 | ['Computer Science'] |
2,412.14203 | BlenderLLM: Training Large Language Models for Computer-Aided Design
with Self-improvement | ['Yuhao Du', 'Shunian Chen', 'Wenbo Zan', 'Peizhao Li', 'Mingxuan Wang', 'Dingjie Song', 'Bo Li', 'Yan Hu', 'Benyou Wang'] | ['cs.HC', 'cs.AI'] | The application of Large Language Models (LLMs) in Computer-Aided Design
(CAD) remains an underexplored area, despite their remarkable advancements in
other domains. In this paper, we present BlenderLLM, a novel framework for
training LLMs specifically for CAD tasks leveraging a self-improvement
methodology. To support... | 2024-12-16T14:34:02Z | null | null | null | BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement | ['Yuhao Du', 'Shunian Chen', 'Wenbo Zan', 'Peizhao Li', 'Mingxuan Wang', 'Dingjie Song', 'Bo Li', 'Yan Hu', 'Benyou Wang'] | 2,024 | arXiv.org | 3 | 0 | ['Computer Science'] |
2,412.1447 | Agent-SafetyBench: Evaluating the Safety of LLM Agents | ['Zhexin Zhang', 'Shiyao Cui', 'Yida Lu', 'Jingzhuo Zhou', 'Junxiao Yang', 'Hongning Wang', 'Minlie Huang'] | ['cs.CL'] | As large language models (LLMs) are increasingly deployed as agents, their
integration into interactive environments and tool use introduce new safety
challenges beyond those associated with the models themselves. However, the
absence of comprehensive benchmarks for evaluating agent safety presents a
significant barrie... | 2024-12-19T02:35:15Z | 26 pages | null | null | null | null | null | null | null | null | null |
2,412.14475 | MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval | ['Junjie Zhou', 'Zheng Liu', 'Ze Liu', 'Shitao Xiao', 'Yueze Wang', 'Bo Zhao', 'Chen Jason Zhang', 'Defu Lian', 'Yongping Xiong'] | ['cs.CV', 'cs.CL'] | Despite the rapidly growing demand for multimodal retrieval, progress in this
field remains severely constrained by a lack of training data. In this paper,
we introduce MegaPairs, a novel data synthesis method that leverages vision
language models (VLMs) and open-domain images, together with a massive
synthetic dataset... | 2024-12-19T02:49:55Z | null | null | null | null | null | null | null | null | null | null |
2,412.1451 | PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization | ['Jiayi Wu', 'Hengyi Cai', 'Lingyong Yan', 'Hao Sun', 'Xiang Li', 'Shuaiqiang Wang', 'Dawei Yin', 'Ming Gao'] | ['cs.CL', 'cs.AI'] | The emergence of Retrieval-augmented generation (RAG) has alleviated the
issues of outdated and hallucinatory content in the generation of large
language models (LLMs), yet it still reveals numerous limitations. When a
general-purpose LLM serves as the RAG generator, it often suffers from
inadequate response informativ... | 2024-12-19T04:18:51Z | null | null | null | PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization | ['Jiayi Wu', 'Hengyi Cai', 'Lingyong Yan', 'Hao Sun', 'Xiang Li', 'Shuaiqiang Wang', 'Dawei Yin', 'Ming Gao'] | 2,024 | North American Chapter of the Association for Computational Linguistics | 1 | 33 | ['Computer Science'] |
2,412.14574 | Sliding Windows Are Not the End: Exploring Full Ranking with
Long-Context Large Language Models | ['Wenhan Liu', 'Xinyu Ma', 'Yutao Zhu', 'Ziliang Zhao', 'Shuaiqiang Wang', 'Dawei Yin', 'Zhicheng Dou'] | ['cs.IR', 'cs.CL'] | Large Language Models (LLMs) have shown exciting performance in listwise
passage ranking. Due to the limited input length, existing methods often adopt
the sliding window strategy. Such a strategy, though effective, is inefficient
as it involves repetitive and serialized processing, which usually re-evaluates
relevant ... | 2024-12-19T06:44:59Z | 14 pages | null | null | Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models | ['Wenhan Liu', 'Xinyu Ma', 'Yutao Zhu', 'Ziliang Zhao', 'Shuaiqiang Wang', 'Dawei Yin', 'Zhicheng Dou'] | 2,024 | arXiv.org | 2 | 0 | ['Computer Science'] |
2,412.1468 | A Light-Weight Framework for Open-Set Object Detection with Decoupled
Feature Alignment in Joint Space | ['Yonghao He', 'Hu Su', 'Haiyong Yu', 'Cong Yang', 'Wei Sui', 'Cong Wang', 'Song Liu'] | ['cs.CV', 'cs.AI', 'cs.RO'] | Open-set object detection (OSOD) is highly desirable for robotic manipulation
in unstructured environments. However, existing OSOD methods often fail to meet
the requirements of robotic applications due to their high computational burden
and complex deployment. To address this issue, this paper proposes a
light-weight ... | 2024-12-19T09:32:53Z | null | null | null | A Light-Weight Framework for Open-Set Object Detection with Decoupled Feature Alignment in Joint Space | ['Yonghao He', 'Hu Su', 'Haiyong Yu', 'Cong Yang', 'Wei Sui', 'Cong Wang', 'Song Liu'] | 2,024 | arXiv.org | 1 | 0 | ['Computer Science'] |
2,412.15084 | AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward
Modeling | ['Zihan Liu', 'Yang Chen', 'Mohammad Shoeybi', 'Bryan Catanzaro', 'Wei Ping'] | ['cs.CL', 'cs.AI', 'cs.LG'] | In this paper, we introduce AceMath, a suite of frontier math models that
excel in solving complex math problems, along with highly effective reward
models capable of evaluating generated solutions and reliably identifying the
correct ones. To develop the instruction-tuned math models, we propose a
supervised fine-tuni... | 2024-12-19T17:29:44Z | null | null | null | null | null | null | null | null | null | null |
2,412.15115 | Qwen2.5 Technical Report | ['Qwen', ':', 'An Yang', 'Baosong Yang', 'Beichen Zhang', 'Binyuan Hui', 'Bo Zheng', 'Bowen Yu', 'Chengyuan Li', 'Dayiheng Liu', 'Fei Huang', 'Haoran Wei', 'Huan Lin', 'Jian Yang', 'Jianhong Tu', 'Jianwei Zhang', 'Jianxin Yang', 'Jiaxi Yang', 'Jingren Zhou', 'Junyang Lin', 'Kai Dang', 'Keming Lu', 'Keqin Bao', 'Kexin Y... | ['cs.CL'] | In this report, we introduce Qwen2.5, a comprehensive series of large
language models (LLMs) designed to meet diverse needs. Compared to previous
iterations, Qwen 2.5 has been significantly improved during both the
pre-training and post-training stages. In terms of pre-training, we have scaled
the high-quality pre-trai... | 2024-12-19T17:56:09Z | null | null | null | Qwen2.5 Technical Report | ['Qwen An Yang', 'Baosong Yang', 'Beichen Zhang', 'Binyuan Hui', 'Bo Zheng', 'Bowen Yu', 'Chengyuan Li', 'Dayiheng Liu', 'Fei Huang', 'Guanting Dong', 'Haoran Wei', 'Huan Lin', 'Jian Yang', 'Jianhong Tu', 'Jianwei Zhang', 'Jianxin Yang', 'Jiaxin Yang', 'Jingren Zhou', 'Junyang Lin', 'Kai Dang', 'Keming Lu', 'Keqin Bao'... | 2,024 | arXiv.org | 1,406 | 0 | ['Computer Science'] |
2,412.15119 | Parallelized Autoregressive Visual Generation | ['Yuqing Wang', 'Shuhuai Ren', 'Zhijie Lin', 'Yujin Han', 'Haoyuan Guo', 'Zhenheng Yang', 'Difan Zou', 'Jiashi Feng', 'Xihui Liu'] | ['cs.CV'] | Autoregressive models have emerged as a powerful approach for visual
generation but suffer from slow inference speed due to their sequential
token-by-token prediction process. In this paper, we propose a simple yet
effective approach for parallelized autoregressive visual generation that
improves generation efficiency ... | 2024-12-19T17:59:54Z | CVPR 2025 Accepted - Project Page:
https://yuqingwang1029.github.io/PAR-project | null | null | null | null | null | null | null | null | null |
2,412.15195 | Preventing Local Pitfalls in Vector Quantization via Optimal Transport | ['Borui Zhang', 'Wenzhao Zheng', 'Jie Zhou', 'Jiwen Lu'] | ['cs.CV', 'cs.LG'] | Vector-quantized networks (VQNs) have exhibited remarkable performance across
various tasks, yet they are prone to training instability, which complicates
the training process due to the necessity for techniques such as subtle
initialization and model distillation. In this study, we identify the local
minima issue as t... | 2024-12-19T18:58:14Z | Code is available at https://github.com/zbr17/OptVQ | null | null | null | null | null | null | null | null | null |
2,412.152 | DI-PCG: Diffusion-based Efficient Inverse Procedural Content Generation
for High-quality 3D Asset Creation | ['Wang Zhao', 'Yan-Pei Cao', 'Jiale Xu', 'Yuejiang Dong', 'Ying Shan'] | ['cs.CV', 'cs.AI', 'cs.GR'] | Procedural Content Generation (PCG) is powerful in creating high-quality 3D
contents, yet controlling it to produce desired shapes is difficult and often
requires extensive parameter tuning. Inverse Procedural Content Generation aims
to automatically find the best parameters under the input condition. However,
existing... | 2024-12-19T18:58:46Z | Project page: https://thuzhaowang.github.io/projects/DI-PCG/ | null | null | DI-PCG: Diffusion-based Efficient Inverse Procedural Content Generation for High-quality 3D Asset Creation | ['Wang Zhao', 'Yanpei Cao', 'Jiale Xu', 'Yuejiang Dong', 'Ying Shan'] | 2,024 | arXiv.org | 3 | 0 | ['Computer Science'] |
2,412.15205 | FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching | ['Sucheng Ren', 'Qihang Yu', 'Ju He', 'Xiaohui Shen', 'Alan Yuille', 'Liang-Chieh Chen'] | ['cs.CV'] | Autoregressive (AR) modeling has achieved remarkable success in natural
language processing by enabling models to generate text with coherence and
contextual understanding through next token prediction. Recently, in image
generation, VAR proposes scale-wise autoregressive modeling, which extends the
next token predicti... | 2024-12-19T18:59:31Z | null | null | null | FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching | ['Sucheng Ren', 'Qihang Yu', 'Ju He', 'Xiaohui Shen', 'Alan L. Yuille', 'Liang-Chieh Chen'] | 2,024 | arXiv.org | 21 | 0 | ['Computer Science'] |
2,412.15213 | Flowing from Words to Pixels: A Noise-Free Framework for Cross-Modality
Evolution | ['Qihao Liu', 'Xi Yin', 'Alan Yuille', 'Andrew Brown', 'Mannat Singh'] | ['cs.CV'] | Diffusion models, and their generalization, flow matching, have had a
remarkable impact on the field of media generation. Here, the conventional
approach is to learn the complex mapping from a simple source distribution of
Gaussian noise to the target media distribution. For cross-modal tasks such as
text-to-image gene... | 2024-12-19T18:59:56Z | CVPR 2025 camera-ready version. Project page:
https://cross-flow.github.io/ | null | null | Flowing from Words to Pixels: A Noise-Free Framework for Cross-Modality Evolution | ['Qihao Liu', 'Xi Yin', 'Alan L. Yuille', 'Andrew Brown', 'Mannat Singh'] | 2,024 | Computer Vision and Pattern Recognition | 2 | 97 | ['Computer Science'] |
2,412.15252 | NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER)
within low-resource languages | ['Abdulhady Abas Abdullah', 'Srwa Hasan Abdulla', 'Dalia Mohammad Toufiq', 'Halgurd S. Maghdid', 'Tarik A. Rashid', 'Pakshan F. Farho', 'Shadan Sh. Sabr', 'Akar H. Taher', 'Darya S. Hamad', 'Hadi Veisi', 'Aras T. Asaad'] | ['cs.CL', 'cs.AI'] | Nowadays, Natural Language Processing (NLP) is an important tool for most
people's daily life routines, ranging from understanding speech, translation,
named entity recognition (NER), and text categorization, to generative text
models such as ChatGPT. Due to the existence of big data and consequently large
corpora for ... | 2024-12-15T07:07:17Z | null | null | null | NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages | ['A. A. Abdullah', 'Srwa Hasan Abdulla', 'Dalia Mohammad Toufiq', 'H. S. Maghdid', 'Tarik A. Rashid', 'Pakshan F. Farho', 'S. Sabr', 'Akar H. Taher', 'D. S. Hamad', 'Hadi Veisi', 'Aras T. Asaad'] | 2,024 | arXiv.org | 2 | 0 | ['Computer Science'] |
2,412.15258 | DisEmbed: Transforming Disease Understanding through Embeddings | ['Salman Faroz'] | ['cs.CL', 'cs.LG'] | The medical domain is vast and diverse, with many existing embedding models
focused on general healthcare applications. However, these models often
struggle to capture a deep understanding of diseases due to their broad
generalization across the entire medical field. To address this gap, I present
DisEmbed, a disease-f... | 2024-12-16T12:04:22Z | null | null | null | null | null | null | null | null | null | null |
2,412.15322 | MMAudio: Taming Multimodal Joint Training for High-Quality
Video-to-Audio Synthesis | ['Ho Kei Cheng', 'Masato Ishii', 'Akio Hayakawa', 'Takashi Shibuya', 'Alexander Schwing', 'Yuki Mitsufuji'] | ['cs.CV', 'cs.LG', 'cs.SD', 'eess.AS'] | We propose to synthesize high-quality and synchronized audio, given video and
optional text conditions, using a novel multimodal joint training framework
MMAudio. In contrast to single-modality training conditioned on (limited) video
data only, MMAudio is jointly trained with larger-scale, readily available
text-audio ... | 2024-12-19T18:59:55Z | Accepted to CVPR 2025. Project page:
https://hkchengrex.github.io/MMAudio | null | null | null | null | null | null | null | null | null |
2,412.1545 | Fietje: An open, efficient LLM for Dutch | ['Bram Vanroy'] | ['cs.CL'] | This paper introduces Fietje, a family of small language models (SLMs)
specifically designed for the Dutch language. The model is based on Phi 2, an
English-centric model of 2.7 billion parameters. Fietje demonstrated
competitive results with larger language models upon its release. A core
emphasis of this work is tran... | 2024-12-19T23:06:01Z | null | null | null | null | null | null | null | null | null | null |
2,412.15495 | TL-Training: A Task-Feature-Based Framework for Training Large Language
Models in Tool Use | ['Junjie Ye', 'Yilong Wu', 'Sixian Li', 'Yuming Yang', 'Tao Gui', 'Qi Zhang', 'Xuanjing Huang', 'Peng Wang', 'Zhongchao Shi', 'Jianping Fan', 'Zhengyin Du'] | ['cs.CL', 'cs.AI'] | Large language models (LLMs) achieve remarkable advancements by leveraging
tools to interact with external environments, a critical step toward
generalized AI. However, the standard supervised fine-tuning (SFT) approach,
which relies on large-scale datasets, often overlooks task-specific
characteristics in tool use, le... | 2024-12-20T02:21:36Z | null | null | null | TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use | ['Junjie Ye', 'Yilong Wu', 'Sixian Li', 'Yuming Yang', 'Tao Gui', 'Qi Zhang', 'Xuanjing Huang', 'Peng Wang', 'Zhongchao Shi', 'Jianping Fan', 'Zhengyin Du'] | 2,024 | arXiv.org | 3 | 0 | ['Computer Science'] |
2,412.15499 | A Robust Prototype-Based Network with Interpretable RBF Classifier
Foundations | ['Sascha Saralajew', 'Ashish Rana', 'Thomas Villmann', 'Ammar Shaker'] | ['cs.LG', 'cs.AI', 'cs.CV'] | Prototype-based classification learning methods are known to be inherently
interpretable. However, this paradigm suffers from major limitations compared
to deep models, such as lower performance. This led to the development of the
so-called deep Prototype-Based Networks (PBNs), also known as prototypical
parts models. ... | 2024-12-20T02:25:31Z | To appear at AAAI 2025. Includes the Appendix of the AAAI submission.
In v2, the font size has been increased in some figures. In v3, an incorrect
hyperparameter specification (Table 6; $\lambda$) has been corrected | null | null | null | null | null | null | null | null | null |
2,412.15594 | Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem
Generation | ['Xiaoqiang Kang', 'Zimu Wang', 'Xiaobo Jin', 'Wei Wang', 'Kaizhu Huang', 'Qiufeng Wang'] | ['cs.CL'] | Solving tabular math word problems (TMWPs) has become a critical role in
evaluating the mathematical reasoning ability of large language models (LLMs),
where large-scale TMWP samples are commonly required for LLM fine-tuning. Since
the collection of high-quality TMWP datasets is costly and time-consuming,
recent resear... | 2024-12-20T06:34:57Z | Accepted at AAAI 2025, extended version with appendix | null | null | Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation | ['Xiaoqiang Kang', 'Zimu Wang', 'Xiao-Bo Jin', 'Wei Wang', 'Kaizhu Huang', 'Qiufeng Wang'] | 2,024 | arXiv.org | 0 | 0 | ['Computer Science'] |
2,412.15606 | Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool
Usage | ['Zhi Gao', 'Bofei Zhang', 'Pengxiang Li', 'Xiaojian Ma', 'Tao Yuan', 'Yue Fan', 'Yuwei Wu', 'Yunde Jia', 'Song-Chun Zhu', 'Qing Li'] | ['cs.AI', 'cs.CV'] | The advancement of large language models (LLMs) prompts the development of
multi-modal agents, which are used as a controller to call external tools,
providing a feasible way to solve practical tasks. In this paper, we propose a
multi-modal agent tuning method that automatically generates multi-modal
tool-usage data an... | 2024-12-20T07:00:46Z | ICLR 2025, https://mat-agent.github.io/ | null | null | Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage | ['Zhi Gao', 'Bofei Zhang', 'Pengxiang Li', 'Xiaojian Ma', 'Tao Yuan', 'Yue Fan', 'Yuwei Wu', 'Yunde Jia', 'Song-Chun Zhu', 'Qing Li'] | 2,024 | arXiv.org | 11 | 0 | ['Computer Science'] |
2,412.15832 | AIFS-CRPS: Ensemble forecasting using a model trained with a loss
function based on the Continuous Ranked Probability Score | ['Simon Lang', 'Mihai Alexe', 'Mariana C. A. Clare', 'Christopher Roberts', 'Rilwan Adewoyin', 'Zied Ben Bouallègue', 'Matthew Chantry', 'Jesper Dramsch', 'Peter D. Dueben', 'Sara Hahner', 'Pedro Maciel', 'Ana Prieto-Nemesio', "Cathal O'Brien", 'Florian Pinault', 'Jan Polster', 'Baudouin Raoult', 'Steffen Tietsche', 'M... | ['physics.ao-ph'] | Over the last three decades, ensemble forecasts have become an integral part
of forecasting the weather. They provide users with more complete information
than single forecasts as they permit to estimate the probability of weather
events by representing the sources of uncertainties and accounting for the
day-to-day var... | 2024-12-20T12:15:54Z | null | null | null | null | null | null | null | null | null | null |
2,412.15838 | Align Anything: Training All-Modality Models to Follow Instructions with
Language Feedback | ['Jiaming Ji', 'Jiayi Zhou', 'Hantao Lou', 'Boyuan Chen', 'Donghai Hong', 'Xuyao Wang', 'Wenqi Chen', 'Kaile Wang', 'Rui Pan', 'Jiahao Li', 'Mohan Wang', 'Josef Dai', 'Tianyi Qiu', 'Hua Xu', 'Dong Li', 'Weipeng Chen', 'Jun Song', 'Bo Zheng', 'Yaodong Yang'] | ['cs.AI', 'cs.CL'] | Reinforcement learning from human feedback (RLHF) has proven effective in
enhancing the instruction-following capabilities of large language models;
however, it remains underexplored in the cross-modality domain. As the number
of modalities increases, aligning all-modality models with human intentions --
such as instru... | 2024-12-20T12:27:16Z | null | null | null | null | null | null | null | null | null | null |
2,412.15907 | Development of a Large-scale Dataset of Chest Computed Tomography
Reports in Japanese and a High-performance Finding Classification Model | ['Yosuke Yamagishi', 'Yuta Nakamura', 'Tomohiro Kikuchi', 'Yuki Sonoda', 'Hiroshi Hirakawa', 'Shintaro Kano', 'Satoshi Nakamura', 'Shouhei Hanaoka', 'Takeharu Yoshikawa', 'Osamu Abe'] | ['cs.CL', 'cs.AI'] | Background: Recent advances in large language models highlight the need for
high-quality multilingual medical datasets. While Japan leads globally in CT
scanner deployment and utilization, the lack of large-scale Japanese radiology
datasets has hindered the development of specialized language models for
medical imaging... | 2024-12-20T13:59:11Z | Dataset available at
https://huggingface.co/datasets/YYama0/CT-RATE-JPN | null | null | null | null | null | null | null | null | null |
2,412.16112 | CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers
Up | ['Songhua Liu', 'Zhenxiong Tan', 'Xinchao Wang'] | ['cs.CV'] | Diffusion Transformers (DiT) have become a leading architecture in image
generation. However, the quadratic complexity of attention mechanisms, which
are responsible for modeling token-wise relationships, results in significant
latency when generating high-resolution images. To address this issue, we aim
at a linear at... | 2024-12-20T17:57:09Z | null | null | null | CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up | ['Songhua Liu', 'Zhenxiong Tan', 'Xinchao Wang'] | 2,024 | arXiv.org | 10 | 0 | ['Computer Science'] |
2,412.16145 | Offline Reinforcement Learning for LLM Multi-Step Reasoning | ['Huaijie Wang', 'Shibo Hao', 'Hanze Dong', 'Shenao Zhang', 'Yilin Bao', 'Ziran Yang', 'Yi Wu'] | ['cs.LG', 'cs.AI', 'cs.CL'] | Improving the multi-step reasoning ability of large language models (LLMs)
with offline reinforcement learning (RL) is essential for quickly adapting them
to complex tasks. While Direct Preference Optimization (DPO) has shown promise
in aligning LLMs with human preferences, it is less suitable for multi-step
reasoning ... | 2024-12-20T18:49:45Z | null | null | null | null | null | null | null | null | null | null |
2,412.16158 | HoVLE: Unleashing the Power of Monolithic Vision-Language Models with
Holistic Vision-Language Embedding | ['Chenxin Tao', 'Shiqian Su', 'Xizhou Zhu', 'Chenyu Zhang', 'Zhe Chen', 'Jiawen Liu', 'Wenhai Wang', 'Lewei Lu', 'Gao Huang', 'Yu Qiao', 'Jifeng Dai'] | ['cs.CV'] | The rapid advance of Large Language Models (LLMs) has catalyzed the
development of Vision-Language Models (VLMs). Monolithic VLMs, which avoid
modality-specific encoders, offer a promising alternative to the compositional
ones but face the challenge of inferior performance. Most existing monolithic
VLMs require tuning ... | 2024-12-20T18:59:59Z | null | null | null | null | null | null | null | null | null | null |
2,412.16178 | Context Clues: Evaluating Long Context Models for Clinical Prediction
Tasks on EHRs | ['Michael Wornow', 'Suhana Bedi', 'Miguel Angel Fuentes Hernandez', 'Ethan Steinberg', 'Jason Alan Fries', 'Christopher Re', 'Sanmi Koyejo', 'Nigam H. Shah'] | ['cs.LG', 'cs.AI', 'cs.CE'] | Foundation Models (FMs) trained on Electronic Health Records (EHRs) have
achieved state-of-the-art results on numerous clinical prediction tasks.
However, most existing EHR FMs have context windows of <1k tokens. This
prevents them from modeling full patient EHRs which can exceed 10k's of events.
Recent advancements in... | 2024-12-09T21:58:27Z | null | null | null | Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs | ['Michael Wornow', 'Suhana Bedi', 'Miguel Angel Fuentes Hernandez', 'E. Steinberg', 'J. Fries', 'Christopher Ré', 'Oluwasanmi Koyejo', 'Nigam H. Shah'] | 2,024 | arXiv.org | 6 | 55 | ['Computer Science'] |
2,412.16256 | Aria-UI: Visual Grounding for GUI Instructions | ['Yuhao Yang', 'Yue Wang', 'Dongxu Li', 'Ziyang Luo', 'Bei Chen', 'Chao Huang', 'Junnan Li'] | ['cs.HC', 'cs.AI'] | Digital agents for automating tasks across different platforms by directly
manipulating the GUIs are increasingly important. For these agents, grounding
from language instructions to target elements remains a significant challenge
due to reliance on HTML or AXTree inputs. In this paper, we introduce Aria-UI,
a large mu... | 2024-12-20T07:16:57Z | ACL 2025 | null | null | null | null | null | null | null | null | null |
2,412.16262 | VirusT5: Harnessing Large Language Models to Predicting SARS-CoV-2
Evolution | ['Vishwajeet Marathe', 'Deewan Bajracharya', 'Changhui Yan'] | ['q-bio.QM', 'cs.AI'] | During a virus's evolution,various regions of the genome are subjected to
distinct levels of functional constraints.Combined with factors like codon bias
and DNA repair efficiency,these constraints contribute to unique mutation
patterns within the genome or a specific gene. In this project, we harnessed
the power of La... | 2024-12-20T08:46:42Z | This is a preprint of a paper submitted to IEEE for consideration | null | null | null | null | null | null | null | null | null |
2,412.16526 | Text2midi: Generating Symbolic Music from Captions | ['Keshav Bhandari', 'Abhinaba Roy', 'Kyra Wang', 'Geeta Puri', 'Simon Colton', 'Dorien Herremans'] | ['cs.SD', 'cs.AI', 'cs.CL', 'eess.AS'] | This paper introduces text2midi, an end-to-end model to generate MIDI files
from textual descriptions. Leveraging the growing popularity of multimodal
generative approaches, text2midi capitalizes on the extensive availability of
textual data and the success of large language models (LLMs). Our end-to-end
system harness... | 2024-12-21T08:09:12Z | 9 pages, 3 figures, Accepted at the 39th AAAI Conference on
Artificial Intelligence (AAAI 2025) | Proceedings of the 39th AAAI Conference on Artificial Intelligence
(AAAI 2025) | null | null | null | null | null | null | null | null |
2,412.16855 | GME: Improving Universal Multimodal Retrieval by Multimodal LLMs | ['Xin Zhang', 'Yanzhao Zhang', 'Wen Xie', 'Mingxin Li', 'Ziqi Dai', 'Dingkun Long', 'Pengjun Xie', 'Meishan Zhang', 'Wenjie Li', 'Min Zhang'] | ['cs.CL', 'cs.IR'] | Universal Multimodal Retrieval (UMR) aims to enable search across various
modalities using a unified model, where queries and candidates can consist of
pure text, images, or a combination of both. Previous work has attempted to
adopt multimodal large language models (MLLMs) to realize UMR using only text
data. However,... | 2024-12-22T04:40:24Z | Accepted to CVPR 2025, models at
https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-2B-Instruct | null | null | null | null | null | null | null | null | null |
2,412.17041 | An OpenMind for 3D medical vision self-supervised learning | ['Tassilo Wald', 'Constantin Ulrich', 'Jonathan Suprijadi', 'Sebastian Ziegler', 'Michal Nohel', 'Robin Peretzke', 'Gregor Köhler', 'Klaus H. Maier-Hein'] | ['cs.CV', 'cs.AI', 'cs.LG', 'eess.IV'] | The field of self-supervised learning (SSL) for 3D medical images lacks
consistency and standardization. While many methods have been developed, it is
impossible to identify the current state-of-the-art, due to i) varying and
small pretraining datasets, ii) varying architectures, and iii) being evaluated
on differing d... | 2024-12-22T14:38:28Z | Pre-Print; Dataset, Benchmark and Codebase available through
https://github.com/MIC-DKFZ/nnssl | null | null | null | null | null | null | null | null | null |
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