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2,506.24119 | SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via
Multi-Agent Multi-Turn Reinforcement Learning | ['Bo Liu', 'Leon Guertler', 'Simon Yu', 'Zichen Liu', 'Penghui Qi', 'Daniel Balcells', 'Mickel Liu', 'Cheston Tan', 'Weiyan Shi', 'Min Lin', 'Wee Sun Lee', 'Natasha Jaques'] | ['cs.AI', 'cs.CL', 'cs.LG'] | Recent advances in reinforcement learning have shown that language models can
develop sophisticated reasoning through training on tasks with verifiable
rewards, but these approaches depend on human-curated problem-answer pairs and
domain-specific reward engineering. We introduce SPIRAL, a self-play framework
where mode... | 2025-06-30T17:58:13Z | Work in Progress | null | null | null | null | null | null | null | null | null |
2,507.00432 | Does Math Reasoning Improve General LLM Capabilities? Understanding
Transferability of LLM Reasoning | ['Maggie Huan', 'Yuetai Li', 'Tuney Zheng', 'Xiaoyu Xu', 'Seungone Kim', 'Minxin Du', 'Radha Poovendran', 'Graham Neubig', 'Xiang Yue'] | ['cs.AI', 'cs.CL'] | Math reasoning has become the poster child of progress in large language
models (LLMs), with new models rapidly surpassing human-level performance on
benchmarks like MATH and AIME. But as math leaderboards improve week by week,
it is worth asking: do these gains reflect broader problem-solving ability or
just narrow ov... | 2025-07-01T05:23:05Z | null | null | null | null | null | null | null | null | null | null |
2,507.00505 | LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for
MLLMs | ['Haoran Lou', 'Chunxiao Fan', 'Ziyan Liu', 'Yuexin Wu', 'Xinliang Wang'] | ['cs.CV'] | The architecture of multimodal large language models (MLLMs) commonly
connects a vision encoder, often based on CLIP-ViT, to a large language model.
While CLIP-ViT works well for capturing global image features, it struggles to
model local relationships between adjacent patches, leading to weaker visual
representation,... | 2025-07-01T07:20:11Z | Accepted to ICCV 2025 | null | null | null | null | null | null | null | null | null |
2,507.00833 | HumanoidGen: Data Generation for Bimanual Dexterous Manipulation via LLM
Reasoning | ['Zhi Jing', 'Siyuan Yang', 'Jicong Ao', 'Ting Xiao', 'Yugang Jiang', 'Chenjia Bai'] | ['cs.RO', 'cs.AI'] | For robotic manipulation, existing robotics datasets and simulation
benchmarks predominantly cater to robot-arm platforms. However, for humanoid
robots equipped with dual arms and dexterous hands, simulation tasks and
high-quality demonstrations are notably lacking. Bimanual dexterous
manipulation is inherently more co... | 2025-07-01T15:04:38Z | Project Page: https://openhumanoidgen.github.io | null | null | null | null | null | null | null | null | null |
2,507.00971 | Reasoning as an Adaptive Defense for Safety | ['Taeyoun Kim', 'Fahim Tajwar', 'Aditi Raghunathan', 'Aviral Kumar'] | ['cs.LG', 'cs.AI'] | Reasoning methods that adaptively allocate test-time compute have advanced
LLM performance on easy to verify domains such as math and code. In this work,
we study how to utilize this approach to train models that exhibit a degree of
robustness to safety vulnerabilities, and show that doing so can provide
benefits. We b... | 2025-07-01T17:20:04Z | 42 pages, 11 Figures, 7 Tables | null | null | null | null | null | null | null | null | null |
2,507.00994 | Should We Still Pretrain Encoders with Masked Language Modeling? | ['Hippolyte Gisserot-Boukhlef', 'Nicolas Boizard', 'Manuel Faysse', 'Duarte M. Alves', 'Emmanuel Malherbe', 'André F. T. Martins', 'Céline Hudelot', 'Pierre Colombo'] | ['cs.CL'] | Learning high-quality text representations is fundamental to a wide range of
NLP tasks. While encoder pretraining has traditionally relied on Masked
Language Modeling (MLM), recent evidence suggests that decoder models
pretrained with Causal Language Modeling (CLM) can be effectively repurposed as
encoders, often surpa... | 2025-07-01T17:45:48Z | 23 pages, 10 figures, 17 tables | null | null | null | null | null | null | null | null | null |
2,507.01006 | GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable
Reinforcement Learning | ['GLM-V Team', ':', 'Wenyi Hong', 'Wenmeng Yu', 'Xiaotao Gu', 'Guo Wang', 'Guobing Gan', 'Haomiao Tang', 'Jiale Cheng', 'Ji Qi', 'Junhui Ji', 'Lihang Pan', 'Shuaiqi Duan', 'Weihan Wang', 'Yan Wang', 'Yean Cheng', 'Zehai He', 'Zhe Su', 'Zhen Yang', 'Ziyang Pan', 'Aohan Zeng', 'Baoxu Wang', 'Boyan Shi', 'Changyu Pang', '... | ['cs.CV', 'cs.AI', 'cs.LG'] | We present GLM-4.1V-Thinking, a vision-language model (VLM) designed to
advance general-purpose multimodal understanding and reasoning. In this report,
we share our key findings in the development of the reasoning-centric training
framework. We first develop a capable vision foundation model with significant
potential ... | 2025-07-01T17:55:04Z | null | null | null | null | null | null | null | null | null | null |
2,507.01255 | AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for
AI-Generated Video Evaluation | ['Xiao Liu', 'Jiawei Zhang'] | ['cs.CV'] | The rapid advancement of AI-generated video models has created a pressing
need for robust and interpretable evaluation frameworks. Existing metrics are
limited to producing numerical scores without explanatory comments, resulting
in low interpretability and human evaluation alignment. To address those
challenges, we in... | 2025-07-02T00:20:06Z | Working in Progress | null | null | null | null | null | null | null | null | null |
2,507.01352 | Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI Synergy | ['Chris Yuhao Liu', 'Liang Zeng', 'Yuzhen Xiao', 'Jujie He', 'Jiacai Liu', 'Chaojie Wang', 'Rui Yan', 'Wei Shen', 'Fuxiang Zhang', 'Jiacheng Xu', 'Yang Liu', 'Yahui Zhou'] | ['cs.CL', 'cs.AI', 'cs.LG'] | Despite the critical role of reward models (RMs) in reinforcement learning
from human feedback (RLHF), current state-of-the-art open RMs perform poorly on
most existing evaluation benchmarks, failing to capture the spectrum of nuanced
and sophisticated human preferences. Even approaches that incorporate advanced
traini... | 2025-07-02T04:40:29Z | null | null | null | null | null | null | null | null | null | null |
2,507.01472 | Optimizing Methane Detection On Board Satellites: Speed, Accuracy, and
Low-Power Solutions for Resource-Constrained Hardware | ['Jonáš Herec', 'Vít Růžička', 'Rado Pitoňák'] | ['cs.CV', 'cs.LG', 'cs.PF'] | Methane is a potent greenhouse gas, and detecting its leaks early via
hyperspectral satellite imagery can help mitigate climate change. Meanwhile,
many existing missions operate in manual tasking regimes only, thus missing
potential events of interest. To overcome slow downlink rates cost-effectively,
onboard detection... | 2025-07-02T08:34:34Z | This is a preprint of a paper accepted for the EDHPC 2025 Conference | null | null | null | null | null | null | null | null | null |
2,507.01634 | Depth Anything at Any Condition | ['Boyuan Sun', 'Modi Jin', 'Bowen Yin', 'Qibin Hou'] | ['cs.CV', 'cs.AI'] | We present Depth Anything at Any Condition (DepthAnything-AC), a foundation
monocular depth estimation (MDE) model capable of handling diverse
environmental conditions. Previous foundation MDE models achieve impressive
performance across general scenes but not perform well in complex open-world
environments that involv... | 2025-07-02T12:05:57Z | null | null | null | null | null | null | null | null | null | null |
2,507.01643 | SAILViT: Towards Robust and Generalizable Visual Backbones for MLLMs via
Gradual Feature Refinement | ['Weijie Yin', 'Dingkang Yang', 'Hongyuan Dong', 'Zijian Kang', 'Jiacong Wang', 'Xiao Liang', 'Chao Feng', 'Jiao Ran'] | ['cs.CV'] | Vision Transformers (ViTs) are essential as foundation backbones in
establishing the visual comprehension capabilities of Multimodal Large Language
Models (MLLMs). Although most ViTs achieve impressive performance through
image-text pair-based contrastive learning or self-supervised mechanisms, they
struggle to engage ... | 2025-07-02T12:17:23Z | We release SAILViT, a series of versatile vision foundation models | null | null | null | null | null | null | null | null | null |
2,507.01738 | DeRIS: Decoupling Perception and Cognition for Enhanced Referring Image
Segmentation through Loopback Synergy | ['Ming Dai', 'Wenxuan Cheng', 'Jiang-jiang Liu', 'Sen Yang', 'Wenxiao Cai', 'Yanpeng Sun', 'Wankou Yang'] | ['cs.CV'] | Referring Image Segmentation (RIS) is a challenging task that aims to segment
objects in an image based on natural language expressions. While prior studies
have predominantly concentrated on improving vision-language interactions and
achieving fine-grained localization, a systematic analysis of the fundamental
bottlen... | 2025-07-02T14:14:35Z | ICCV 2025 | null | null | null | null | null | null | null | null | null |
2,507.01931 | Adaptability of ASR Models on Low-Resource Language: A Comparative Study
of Whisper and Wav2Vec-BERT on Bangla | ['Md Sazzadul Islam Ridoy', 'Sumi Akter', 'Md. Aminur Rahman'] | ['cs.CL', 'cs.AI', 'cs.SD', 'eess.AS'] | In recent years, neural models trained on large multilingual text and speech
datasets have shown great potential for supporting low-resource languages. This
study investigates the performances of two state-of-the-art Automatic Speech
Recognition (ASR) models, OpenAI's Whisper (Small & Large-V2) and Facebook's
Wav2Vec-B... | 2025-07-02T17:44:54Z | null | null | null | null | null | null | null | null | null | null |
2,507.01949 | Kwai Keye-VL Technical Report | ['Kwai Keye Team', 'Biao Yang', 'Bin Wen', 'Changyi Liu', 'Chenglong Chu', 'Chengru Song', 'Chongling Rao', 'Chuan Yi', 'Da Li', 'Dunju Zang', 'Fan Yang', 'Guorui Zhou', 'Hao Peng', 'Haojie Ding', 'Jiaming Huang', 'Jiangxia Cao', 'Jiankang Chen', 'Jingyun Hua', 'Jin Ouyang', 'Kaibing Chen', 'Kaiyu Jiang', 'Kaiyu Tang',... | ['cs.CV'] | While Multimodal Large Language Models (MLLMs) demonstrate remarkable
capabilities on static images, they often fall short in comprehending dynamic,
information-dense short-form videos, a dominant medium in today's digital
landscape. To bridge this gap, we introduce \textbf{Kwai Keye-VL}, an
8-billion-parameter multimo... | 2025-07-02T17:57:28Z | Technical Report: https://github.com/Kwai-Keye/Keye | null | null | null | null | null | null | null | null | null |
2,507.01951 | Test-Time Scaling with Reflective Generative Model | ['Zixiao Wang', 'Yuxin Wang', 'Xiaorui Wang', 'Mengting Xing', 'Jie Gao', 'Jianjun Xu', 'Guangcan Liu', 'Chenhui Jin', 'Zhuo Wang', 'Shengzhuo Zhang', 'Hongtao Xie'] | ['cs.LG', 'cs.CL'] | We introduce our first reflective generative model MetaStone-S1, which
obtains OpenAI o3-mini's performance via the new Reflective Generative Form.
The new form focuses on high-quality reasoning trajectory selection and
contains two novelties: 1) A unified interface for policy and process reward
model: we share the bac... | 2025-07-02T17:58:01Z | null | null | null | null | null | null | null | null | null | null |
2,507.01991 | FinAI-BERT: A Transformer-Based Model for Sentence-Level Detection of AI
Disclosures in Financial Reports | ['Muhammad Bilal Zafar'] | ['q-fin.CP', 'cs.CL', 'econ.GN', 'q-fin.EC', 'q-fin.GN'] | The proliferation of artificial intelligence (AI) in financial services has
prompted growing demand for tools that can systematically detect AI-related
disclosures in corporate filings. While prior approaches often rely on keyword
expansion or document-level classification, they fall short in granularity,
interpretabil... | 2025-06-29T09:33:29Z | The FinAI-BERT model can be directly loaded via Hugging Face
Transformers (https://huggingface.co/bilalzafar/FinAI-BERT) for
sentence-level AI disclosure classification | null | null | null | null | null | null | null | null | null |
2,507.02025 | IntFold: A Controllable Foundation Model for General and Specialized
Biomolecular Structure Prediction | ['The IntFold Team', 'Leon Qiao', 'Wayne Bai', 'He Yan', 'Gary Liu', 'Nova Xi', 'Xiang Zhang', 'Siqi Sun'] | ['q-bio.BM'] | We introduce IntFold, a controllable foundation model for general and
specialized biomolecular structure prediction. Utilizing a high-performance
custom attention kernel, IntFold achieves accuracy comparable to the
state-of-the-art AlphaFold 3 on a comprehensive benchmark of diverse
biomolecular structures, while also ... | 2025-07-02T16:09:47Z | null | null | null | null | null | null | null | null | null | null |
2,507.02029 | RoboBrain 2.0 Technical Report | ['BAAI RoboBrain Team', 'Mingyu Cao', 'Huajie Tan', 'Yuheng Ji', 'Minglan Lin', 'Zhiyu Li', 'Zhou Cao', 'Pengwei Wang', 'Enshen Zhou', 'Yi Han', 'Yingbo Tang', 'Xiangqi Xu', 'Wei Guo', 'Yaoxu Lyu', 'Yijie Xu', 'Jiayu Shi', 'Mengfei Du', 'Cheng Chi', 'Mengdi Zhao', 'Xiaoshuai Hao', 'Junkai Zhao', 'Xiaojie Zhang', 'Shany... | ['cs.RO'] | We introduce RoboBrain 2.0, our latest generation of embodied vision-language
foundation models, designed to unify perception, reasoning, and planning for
complex embodied tasks in physical environments. It comes in two variants: a
lightweight 7B model and a full-scale 32B model, featuring a heterogeneous
architecture ... | 2025-07-02T17:05:33Z | null | null | null | null | null | null | null | null | null | null |
2,507.02259 | MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory
Agent | ['Hongli Yu', 'Tinghong Chen', 'Jiangtao Feng', 'Jiangjie Chen', 'Weinan Dai', 'Qiying Yu', 'Ya-Qin Zhang', 'Wei-Ying Ma', 'Jingjing Liu', 'Mingxuan Wang', 'Hao Zhou'] | ['cs.CL', 'cs.AI', 'cs.LG'] | Despite improvements by length extrapolation, efficient attention and memory
modules, handling infinitely long documents with linear complexity without
performance degradation during extrapolation remains the ultimate challenge in
long-text processing. We directly optimize for long-text tasks in an end-to-end
fashion a... | 2025-07-03T03:11:50Z | Project Page: https://memagent-sialab.github.io/ | null | null | null | null | null | null | null | null | null |
2,507.02735 | Meta SecAlign: A Secure Foundation LLM Against Prompt Injection Attacks | ['Sizhe Chen', 'Arman Zharmagambetov', 'David Wagner', 'Chuan Guo'] | ['cs.CR', 'cs.AI'] | Prompt injection attacks pose a significant security threat to LLM-integrated
applications. Model-level defenses have shown strong effectiveness, but are
currently deployed into commercial-grade models in a closed-source manner. We
believe open-source models are needed by the AI security community, where
co-development... | 2025-07-03T15:47:13Z | null | null | null | null | null | null | null | null | null | null |
2,507.02768 | DeSTA2.5-Audio: Toward General-Purpose Large Audio Language Model with
Self-Generated Cross-Modal Alignment | ['Ke-Han Lu', 'Zhehuai Chen', 'Szu-Wei Fu', 'Chao-Han Huck Yang', 'Sung-Feng Huang', 'Chih-Kai Yang', 'Chee-En Yu', 'Chun-Wei Chen', 'Wei-Chih Chen', 'Chien-yu Huang', 'Yi-Cheng Lin', 'Yu-Xiang Lin', 'Chi-An Fu', 'Chun-Yi Kuan', 'Wenze Ren', 'Xuanjun Chen', 'Wei-Ping Huang', 'En-Pei Hu', 'Tzu-Quan Lin', 'Yuan-Kuei Wu',... | ['eess.AS', 'cs.CL', 'cs.SD'] | We introduce DeSTA2.5-Audio, a general-purpose Large Audio Language Model
(LALM) designed for robust auditory perception and instruction-following,
without requiring task-specific audio instruction-tuning. Recent LALMs
typically augment Large Language Models (LLMs) with auditory capabilities by
training on large-scale,... | 2025-07-03T16:28:25Z | Model and code available at:
https://github.com/kehanlu/DeSTA2.5-Audio | null | null | null | null | null | null | null | null | null |
2,507.02813 | LangScene-X: Reconstruct Generalizable 3D Language-Embedded Scenes with
TriMap Video Diffusion | ['Fangfu Liu', 'Hao Li', 'Jiawei Chi', 'Hanyang Wang', 'Minghui Yang', 'Fudong Wang', 'Yueqi Duan'] | ['cs.CV'] | Recovering 3D structures with open-vocabulary scene understanding from 2D
images is a fundamental but daunting task. Recent developments have achieved
this by performing per-scene optimization with embedded language information.
However, they heavily rely on the calibrated dense-view reconstruction
paradigm, thereby su... | 2025-07-03T17:21:23Z | Project page: https://liuff19.github.io/LangScene-X | null | null | null | null | null | null | null | null | null |
2,507.02851 | MOTIF: Modular Thinking via Reinforcement Fine-tuning in LLMs | ['Purbesh Mitra', 'Sennur Ulukus'] | ['cs.CL', 'cs.AI', 'cs.IT', 'cs.LG', 'cs.SY', 'eess.SY', 'math.IT'] | Recent advancements in the reasoning capabilities of large language models
(LLMs) show that employing group relative policy optimization (GRPO) algorithm
for reinforcement learning (RL) training allows the models to use more
thinking/reasoning tokens for generating better responses. However, LLMs can
generate only a fi... | 2025-07-03T17:55:43Z | null | null | null | null | null | null | null | null | null | null |
2,507.03033 | Preserving Privacy, Increasing Accessibility, and Reducing Cost: An
On-Device Artificial Intelligence Model for Medical Transcription and Note
Generation | ['Johnson Thomas', 'Ayush Mudgal', 'Wendao Liu', 'Nisten Tahiraj', 'Zeeshaan Mohammed', 'Dhruv Diddi'] | ['cs.CL', 'cs.AI'] | Background: Clinical documentation represents a significant burden for
healthcare providers, with physicians spending up to 2 hours daily on
administrative tasks. Recent advances in large language models (LLMs) offer
promising solutions, but privacy concerns and computational requirements limit
their adoption in health... | 2025-07-03T01:51:49Z | null | null | null | null | null | null | null | null | null | null |
2,507.03112 | RLVER: Reinforcement Learning with Verifiable Emotion Rewards for
Empathetic Agents | ['Peisong Wang', 'Ruotian Ma', 'Bang Zhang', 'Xingyu Chen', 'Zhiwei He', 'Kang Luo', 'Qingsong Lv', 'Qingxuan Jiang', 'Zheng Xie', 'Shanyi Wang', 'Yuan Li', 'Fanghua Ye', 'Jian Li', 'Yifan Yang', 'Zhaopeng Tu', 'Xiaolong Li'] | ['cs.CL', 'cs.AI', 'cs.CY'] | Large language models (LLMs) excel at logical and algorithmic reasoning, yet
their emotional intelligence (EQ) still lags far behind their cognitive
prowess. While reinforcement learning from verifiable rewards (RLVR) has
advanced in other domains, its application to dialogue-especially for emotional
intelligence-remai... | 2025-07-03T18:33:18Z | Code: https://github.com/Tencent/DigitalHuman/tree/main/RLVER | null | null | null | null | null | null | null | null | null |
2,507.03152 | Expert-level validation of AI-generated medical text with scalable
language models | ['Asad Aali', 'Vasiliki Bikia', 'Maya Varma', 'Nicole Chiou', 'Sophie Ostmeier', 'Arnav Singhvi', 'Magdalini Paschali', 'Ashwin Kumar', 'Andrew Johnston', 'Karimar Amador-Martinez', 'Eduardo Juan Perez Guerrero', 'Paola Naovi Cruz Rivera', 'Sergios Gatidis', 'Christian Bluethgen', 'Eduardo Pontes Reis', 'Eddy D. Zandee... | ['cs.CL', 'cs.AI', 'cs.LG'] | With the growing use of language models (LMs) in clinical environments, there
is an immediate need to evaluate the accuracy and safety of LM-generated
medical text. Currently, such evaluation relies solely on manual physician
review. However, detecting errors in LM-generated text is challenging because
1) manual review... | 2025-07-03T20:19:18Z | null | null | null | null | null | null | null | null | null | null |
2,507.03482 | OMAR-RQ: Open Music Audio Representation Model Trained with
Multi-Feature Masked Token Prediction | ['Pablo Alonso-Jiménez', 'Pedro Ramoneda', 'R. Oguz Araz', 'Andrea Poltronieri', 'Dmitry Bogdanov'] | ['cs.SD', 'eess.AS'] | Developing open-source foundation models is essential for advancing research
in music audio understanding and ensuring access to powerful, multipurpose
representations for music information retrieval. We present OMAR-RQ, a model
trained with self-supervision via masked token classification methodologies
using a large-s... | 2025-07-04T11:19:47Z | null | null | null | null | null | null | null | null | null | null |
2,507.03607 | VLAI: A RoBERTa-Based Model for Automated Vulnerability Severity
Classification | ['Cédric Bonhomme', 'Alexandre Dulaunoy'] | ['cs.CR'] | This paper presents VLAI, a transformer-based model that predicts software
vulnerability severity levels directly from text descriptions. Built on
RoBERTa, VLAI is fine-tuned on over 600,000 real-world vulnerabilities and
achieves over 82% accuracy in predicting severity categories, enabling faster
and more consistent ... | 2025-07-04T14:28:14Z | This paper is a preprint for the 25V4C-TC: 2025 Vulnerability
Forecasting Technical Colloquia. Darwin College Cambridge, UK, September
25-26, 2025 | null | null | null | null | null | null | null | null | null |
2,507.03738 | Flow-Anchored Consistency Models | ['Yansong Peng', 'Kai Zhu', 'Yu Liu', 'Pingyu Wu', 'Hebei Li', 'Xiaoyan Sun', 'Feng Wu'] | ['cs.CV'] | Continuous-time Consistency Models (CMs) promise efficient few-step
generation but face significant challenges with training instability. We argue
this instability stems from a fundamental conflict: by training a network to
learn only a shortcut across a probability flow, the model loses its grasp on
the instantaneous ... | 2025-07-04T17:56:51Z | null | null | null | null | null | null | null | null | null | null |
2,507.04569 | Nile-Chat: Egyptian Language Models for Arabic and Latin Scripts | ['Guokan Shang', 'Hadi Abdine', 'Ahmad Chamma', 'Amr Mohamed', 'Mohamed Anwar', 'Abdelaziz Bounhar', 'Omar El Herraoui', 'Preslav Nakov', 'Michalis Vazirgiannis', 'Eric Xing'] | ['cs.CL', 'cs.AI', 'cs.LG'] | We introduce Nile-Chat-4B, 3x4B-A6B, and 12B, a collection of LLMs for
Egyptian dialect, uniquely designed to understand and generate texts written in
both Arabic and Latin scripts. Specifically, with Nile-Chat-3x4B-A6B, we
introduce a novel language adaptation approach by leveraging the
Branch-Train-MiX strategy to me... | 2025-07-06T22:53:41Z | null | null | null | null | null | null | null | null | null | null |
2,507.0459 | VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and
Visual Documents | ['Rui Meng', 'Ziyan Jiang', 'Ye Liu', 'Mingyi Su', 'Xinyi Yang', 'Yuepeng Fu', 'Can Qin', 'Zeyuan Chen', 'Ran Xu', 'Caiming Xiong', 'Yingbo Zhou', 'Wenhu Chen', 'Semih Yavuz'] | ['cs.CV', 'cs.CL'] | Multimodal embedding models have been crucial in enabling various downstream
tasks such as semantic similarity, information retrieval, and clustering over
different modalities. However, existing multimodal embeddings like VLM2Vec,
E5-V, GME are predominantly focused on natural images, with limited support for
other vis... | 2025-07-07T00:51:57Z | Technical Report | null | null | null | null | null | null | null | null | null |
2,507.04612 | Retain or Reframe? A Computational Framework for the Analysis of Framing
in News Articles and Reader Comments | ['Matteo Guida', 'Yulia Otmakhova', 'Eduard Hovy', 'Lea Frermann'] | ['cs.CL'] | When a news article describes immigration as an "economic burden" or a
"humanitarian crisis," it selectively emphasizes certain aspects of the issue.
Although \textit{framing} shapes how the public interprets such issues,
audiences do not absorb frames passively but actively reorganize the presented
information. While ... | 2025-07-07T02:05:56Z | null | null | null | null | null | null | null | null | null | null |
2,507.04635 | MODA: MOdular Duplex Attention for Multimodal Perception, Cognition, and
Emotion Understanding | ['Zhicheng Zhang', 'Wuyou Xia', 'Chenxi Zhao', 'Zhou Yan', 'Xiaoqiang Liu', 'Yongjie Zhu', 'Wenyu Qin', 'Pengfei Wan', 'Di Zhang', 'Jufeng Yang'] | ['cs.CV'] | Multimodal large language models (MLLMs) recently showed strong capacity in
integrating data among multiple modalities, empowered by a generalizable
attention architecture. Advanced methods predominantly focus on
language-centric tuning while less exploring multimodal tokens mixed through
attention, posing challenges i... | 2025-07-07T03:37:42Z | ICML 2025 (Spotlight, Top 2.6%) | null | null | null | null | null | null | null | null | null |
2,507.04886 | Emergent Semantics Beyond Token Embeddings: Transformer LMs with Frozen
Visual Unicode Representations | ['A. Bochkov'] | ['cs.CL', 'cs.AI'] | Understanding the locus of semantic representation in large language models
(LLMs) is crucial for interpretability and architectural innovation. The
dominant paradigm posits that trainable input embeddings serve as foundational
"meaning vectors." This paper challenges that view. We construct Transformer
models where th... | 2025-07-07T11:17:32Z | null | null | null | null | null | null | null | null | null | null |
2,507.05197 | Pre-Trained Policy Discriminators are General Reward Models | ['Shihan Dou', 'Shichun Liu', 'Yuming Yang', 'Yicheng Zou', 'Yunhua Zhou', 'Shuhao Xing', 'Chenhao Huang', 'Qiming Ge', 'Demin Song', 'Haijun Lv', 'Songyang Gao', 'Chengqi Lv', 'Enyu Zhou', 'Honglin Guo', 'Zhiheng Xi', 'Wenwei Zhang', 'Qipeng Guo', 'Qi Zhang', 'Xipeng Qiu', 'Xuanjing Huang', 'Tao Gui', 'Kai Chen'] | ['cs.CL', 'cs.LG'] | We offer a novel perspective on reward modeling by formulating it as a policy
discriminator, which quantifies the difference between two policies to generate
a reward signal, guiding the training policy towards a target policy with
desired behaviors. Based on this conceptual insight, we propose a scalable
pre-training ... | 2025-07-07T16:56:31Z | null | null | null | null | null | null | null | null | null | null |
2,507.05201 | MedGemma Technical Report | ['Andrew Sellergren', 'Sahar Kazemzadeh', 'Tiam Jaroensri', 'Atilla Kiraly', 'Madeleine Traverse', 'Timo Kohlberger', 'Shawn Xu', 'Fayaz Jamil', 'Cían Hughes', 'Charles Lau', 'Justin Chen', 'Fereshteh Mahvar', 'Liron Yatziv', 'Tiffany Chen', 'Bram Sterling', 'Stefanie Anna Baby', 'Susanna Maria Baby', 'Jeremy Lai', 'Sa... | ['cs.AI', 'cs.CL', 'cs.CV'] | Artificial intelligence (AI) has significant potential in healthcare
applications, but its training and deployment faces challenges due to
healthcare's diverse data, complex tasks, and the need to preserve privacy.
Foundation models that perform well on medical tasks and require less
task-specific tuning data are criti... | 2025-07-07T17:01:44Z | null | null | null | null | null | null | null | null | null | null |
2,507.0524 | StreamVLN: Streaming Vision-and-Language Navigation via SlowFast Context
Modeling | ['Meng Wei', 'Chenyang Wan', 'Xiqian Yu', 'Tai Wang', 'Yuqiang Yang', 'Xiaohan Mao', 'Chenming Zhu', 'Wenzhe Cai', 'Hanqing Wang', 'Yilun Chen', 'Xihui Liu', 'Jiangmiao Pang'] | ['cs.RO', 'cs.CV'] | Vision-and-Language Navigation (VLN) in real-world settings requires agents
to process continuous visual streams and generate actions with low latency
grounded in language instructions. While Video-based Large Language Models
(Video-LLMs) have driven recent progress, current VLN methods based on
Video-LLM often face tr... | 2025-07-07T17:49:41Z | null | null | null | null | null | null | null | null | null | null |
2,507.05513 | Llama Nemoretriever Colembed: Top-Performing Text-Image Retrieval Model | ['Mengyao Xu', 'Gabriel Moreira', 'Ronay Ak', 'Radek Osmulski', 'Yauhen Babakhin', 'Zhiding Yu', 'Benedikt Schifferer', 'Even Oldridge'] | ['cs.CV', 'cs.AI'] | Motivated by the growing demand for retrieval systems that operate across
modalities, we introduce llama-nemoretriever-colembed, a unified text-image
retrieval model that delivers state-of-the-art performance across multiple
benchmarks. We release two model variants, 1B and 3B. The 3B model achieves
state of the art pe... | 2025-07-07T22:20:04Z | null | null | null | null | null | null | null | null | null | null |
2,507.05517 | Empowering Healthcare Practitioners with Language Models: Structuring
Speech Transcripts in Two Real-World Clinical Applications | ['Jean-Philippe Corbeil', 'Asma Ben Abacha', 'George Michalopoulos', 'Phillip Swazinna', 'Miguel Del-Agua', 'Jerome Tremblay', 'Akila Jeeson Daniel', 'Cari Bader', 'Yu-Cheng Cho', 'Pooja Krishnan', 'Nathan Bodenstab', 'Thomas Lin', 'Wenxuan Teng', 'Francois Beaulieu', 'Paul Vozila'] | ['cs.CL', 'cs.AI'] | Large language models (LLMs) such as GPT-4o and o1 have demonstrated strong
performance on clinical natural language processing (NLP) tasks across multiple
medical benchmarks. Nonetheless, two high-impact NLP tasks - structured tabular
reporting from nurse dictations and medical order extraction from
doctor-patient con... | 2025-07-07T22:29:29Z | null | null | null | null | null | null | null | null | null | null |
2,507.06167 | Skywork-R1V3 Technical Report | ['Wei Shen', 'Jiangbo Pei', 'Yi Peng', 'Xuchen Song', 'Yang Liu', 'Jian Peng', 'Haofeng Sun', 'Yunzhuo Hao', 'Peiyu Wang', 'Jianhao Zhang', 'Yahui Zhou'] | ['cs.CL', 'cs.CV'] | We introduce Skywork-R1V3, an advanced, open-source vision-language model
(VLM) that pioneers a new approach to visual reasoning. Its key innovation lies
in effectively transferring reasoning skills from text-only Large Language
Models (LLMs) to visual tasks. The strong performance of Skywork-R1V3 primarily
stems from ... | 2025-07-08T16:47:16Z | null | null | null | null | null | null | null | null | null | null |
2,507.06181 | CriticLean: Critic-Guided Reinforcement Learning for Mathematical
Formalization | ['Zhongyuan Peng', 'Yifan Yao', 'Kaijing Ma', 'Shuyue Guo', 'Yizhe Li', 'Yichi Zhang', 'Chenchen Zhang', 'Yifan Zhang', 'Zhouliang Yu', 'Luming Li', 'Minghao Liu', 'Yihang Xia', 'Jiawei Shen', 'Yuchen Wu', 'Yixin Cao', 'Zhaoxiang Zhang', 'Wenhao Huang', 'Jiaheng Liu', 'Ge Zhang'] | ['cs.CL'] | Translating natural language mathematical statements into formal, executable
code is a fundamental challenge in automated theorem proving. While prior work
has focused on generation and compilation success, little attention has been
paid to the critic phase-the evaluation of whether generated formalizations
truly captu... | 2025-07-08T17:03:39Z | null | null | null | null | null | null | null | null | null | null |
2,507.0623 | Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion | ['Aleksandar Jevtić', 'Christoph Reich', 'Felix Wimbauer', 'Oliver Hahn', 'Christian Rupprecht', 'Stefan Roth', 'Daniel Cremers'] | ['cs.CV'] | Semantic scene completion (SSC) aims to infer both the 3D geometry and
semantics of a scene from single images. In contrast to prior work on SSC that
heavily relies on expensive ground-truth annotations, we approach SSC in an
unsupervised setting. Our novel method, SceneDINO, adapts techniques from
self-supervised repr... | 2025-07-08T17:59:50Z | To appear at ICCV 2025. Christoph Reich and Aleksandar Jevti\'c -
both authors contributed equally. Code:
https://github.com/tum-vision/scenedino Project page:
https://visinf.github.io/scenedino | null | null | null | null | null | null | null | null | null |
2,507.06448 | Perception-Aware Policy Optimization for Multimodal Reasoning | ['Zhenhailong Wang', 'Xuehang Guo', 'Sofia Stoica', 'Haiyang Xu', 'Hongru Wang', 'Hyeonjeong Ha', 'Xiusi Chen', 'Yangyi Chen', 'Ming Yan', 'Fei Huang', 'Heng Ji'] | ['cs.CL'] | Reinforcement Learning with Verifiable Rewards (RLVR) has proven to be a
highly effective strategy for endowing Large Language Models (LLMs) with robust
multi-step reasoning abilities. However, its design and optimizations remain
tailored to purely textual domains, resulting in suboptimal performance when
applied to mu... | 2025-07-08T23:22:34Z | null | null | null | null | null | null | null | null | null | null |
2,507.06607 | Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long
Generation | ['Liliang Ren', 'Congcong Chen', 'Haoran Xu', 'Young Jin Kim', 'Adam Atkinson', 'Zheng Zhan', 'Jiankai Sun', 'Baolin Peng', 'Liyuan Liu', 'Shuohang Wang', 'Hao Cheng', 'Jianfeng Gao', 'Weizhu Chen', 'Yelong Shen'] | ['cs.CL', 'cs.LG'] | Recent advances in language modeling have demonstrated the effectiveness of
State Space Models (SSMs) for efficient sequence modeling. While hybrid
architectures such as Samba and the decoder-decoder architecture, YOCO, have
shown promising performance gains over Transformers, prior works have not
investigated the effi... | 2025-07-09T07:27:00Z | null | null | null | null | null | null | null | null | null | null |
2,507.07104 | Vision-Language-Vision Auto-Encoder: Scalable Knowledge Distillation
from Diffusion Models | ['Tiezheng Zhang', 'Yitong Li', 'Yu-cheng Chou', 'Jieneng Chen', 'Alan Yuille', 'Chen Wei', 'Junfei Xiao'] | ['cs.CV'] | Building state-of-the-art Vision-Language Models (VLMs) with strong
captioning capabilities typically necessitates training on billions of
high-quality image-text pairs, requiring millions of GPU hours. This paper
introduces the Vision-Language-Vision (VLV) auto-encoder framework, which
strategically leverages key pret... | 2025-07-09T17:59:04Z | Project Page: https://lambert-x.github.io/Vision-Language-Vision/ | null | null | null | null | null | null | null | null | null |
2,507.07129 | Growing Transformers: Modular Composition and Layer-wise Expansion on a
Frozen Substrate | ['A. Bochkov'] | ['cs.LG', 'cs.CL'] | The prevailing paradigm for scaling large language models (LLMs) involves
monolithic, end-to-end training, a resource-intensive process that lacks
flexibility. This paper explores an alternative, constructive approach to model
development, built upon the foundation of non-trainable, deterministic input
embeddings. In p... | 2025-07-08T20:01:15Z | null | null | null | null | null | null | null | null | null | null |
2,507.07186 | Planted in Pretraining, Swayed by Finetuning: A Case Study on the
Origins of Cognitive Biases in LLMs | ['Itay Itzhak', 'Yonatan Belinkov', 'Gabriel Stanovsky'] | ['cs.CL', 'cs.AI', 'cs.LG'] | Large language models (LLMs) exhibit cognitive biases -- systematic
tendencies of irrational decision-making, similar to those seen in humans.
Prior work has found that these biases vary across models and can be amplified
by instruction tuning. However, it remains unclear if these differences in
biases stem from pretra... | 2025-07-09T18:01:14Z | CoLM 2025 | null | null | null | null | null | null | null | null | null |
2,507.0723 | Colors See Colors Ignore: Clothes Changing ReID with Color
Disentanglement | ['Priyank Pathak', 'Yogesh S. Rawat'] | ['cs.CV'] | Clothes-Changing Re-Identification (CC-ReID) aims to recognize individuals
across different locations and times, irrespective of clothing. Existing
methods often rely on additional models or annotations to learn robust,
clothing-invariant features, making them resource-intensive. In contrast, we
explore the use of colo... | 2025-07-09T19:05:46Z | ICCV'25 paper | null | null | null | null | null | null | null | null | null |
2,507.07248 | Medical Red Teaming Protocol of Language Models: On the Importance of
User Perspectives in Healthcare Settings | ['Jean-Philippe Corbeil', 'Minseon Kim', 'Alessandro Sordoni', 'Francois Beaulieu', 'Paul Vozila'] | ['cs.CL'] | As the performance of large language models (LLMs) continues to advance,
their adoption is expanding across a wide range of domains, including the
medical field. The integration of LLMs into medical applications raises
critical safety concerns, particularly due to their use by users with diverse
roles, e.g. patients an... | 2025-07-09T19:38:58Z | null | null | null | null | null | null | null | null | null | null |
2,507.07439 | Towards Interpretable Time Series Foundation Models | ['Matthieu Boileau', 'Philippe Helluy', 'Jeremy Pawlus', 'Svitlana Vyetrenko'] | ['cs.CL', 'cs.AI'] | In this paper, we investigate the distillation of time series reasoning
capabilities into small, instruction-tuned language models as a step toward
building interpretable time series foundation models. Leveraging a synthetic
dataset of mean-reverting time series with systematically varied trends and
noise levels, we ge... | 2025-07-10T05:29:34Z | International Conference on Machine Leaning (ICML) 2025 Workshop on
Foundation Models for Structured Data | null | null | null | null | null | null | null | null | null |
2,507.07562 | The Synergy Dilemma of Long-CoT SFT and RL: Investigating Post-Training
Techniques for Reasoning VLMs | ['Jierun Chen', 'Tiezheng Yu', 'Haoli Bai', 'Lewei Yao', 'Jiannan Wu', 'Kaican Li', 'Fei Mi', 'Chaofan Tao', 'Lei Zhu', 'Manyi Zhang', 'Xiaohui Li', 'Lu Hou', 'Lifeng Shang', 'Qun Liu'] | ['cs.CL'] | Large vision-language models (VLMs) increasingly adopt post-training
techniques such as long chain-of-thought (CoT) supervised fine-tuning (SFT) and
reinforcement learning (RL) to elicit sophisticated reasoning. While these
methods exhibit synergy in language-only models, their joint effectiveness in
VLMs remains uncer... | 2025-07-10T09:05:49Z | null | null | null | null | null | null | null | null | null | null |
2,507.07831 | Rethinking Query-based Transformer for Continual Image Segmentation | ['Yuchen Zhu', 'Cheng Shi', 'Dingyou Wang', 'Jiajin Tang', 'Zhengxuan Wei', 'Yu Wu', 'Guanbin Li', 'Sibei Yang'] | ['cs.CV'] | Class-incremental/Continual image segmentation (CIS) aims to train an image
segmenter in stages, where the set of available categories differs at each
stage. To leverage the built-in objectness of query-based transformers, which
mitigates catastrophic forgetting of mask proposals, current methods often
decouple mask ge... | 2025-07-10T15:03:10Z | This work is accepted by CVPR 2025 | null | null | null | null | null | null | null | null | null |
2,507.07999 | Traceable Evidence Enhanced Visual Grounded Reasoning: Evaluation and
Methodology | ['Haochen Wang', 'Xiangtai Li', 'Zilong Huang', 'Anran Wang', 'Jiacong Wang', 'Tao Zhang', 'Jiani Zheng', 'Sule Bai', 'Zijian Kang', 'Jiashi Feng', 'Zhuochen Wang', 'Zhaoxiang Zhang'] | ['cs.CV', 'cs.AI', 'cs.CL'] | Models like OpenAI-o3 pioneer visual grounded reasoning by dynamically
referencing visual regions, just like human "thinking with images". However, no
benchmark exists to evaluate these capabilities holistically. To bridge this
gap, we propose TreeBench (Traceable Evidence Evaluation Benchmark), a
diagnostic benchmark ... | 2025-07-10T17:59:58Z | null | null | null | null | null | null | null | null | null | null |
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