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Hot Papers

One to More, More to One: Category-Aware Iterative Expert Training for Software Engineering Agents
Jie Zhao, Ziyu Jiang, Suhang Zheng, Minghui Shan, Xiaoxiao Xu, Lin Qu
2026-10-29
Benchmarking Classification Tasks of Chest X-ray AI Across Multinational Public and Private Datasets: a retrospective diagnostic accuracy study
Qinmei Xu, Yiheng Li, Wenya Zhao, Zihao Zhao, Chuanjun Xu, Ahmet Gorkem Er, Xianghao Zhan, Brittany Dashevsky, Mohammed Alawad, Marc von der Stück, Marvin Gazibarić, Daniel Truhn, Shunsuke Shibata, Ryosuke Horino, Mio Ito, Akio Hiwatashi, Suyu Li, Mengya Yang, Ya Liu, Zhiyuan Sun, Changsheng Zhou, Haruka Itakura, Xiao Li, Olivier Gevaert
2026-10-24
PACE: Periodic and Channel-Aligned Encoding of Four-Bit Recurrent States
Patrick Haller, Filipe Laitenberger, Alan Akbik
2026-10-21
A Novel Schur Decomposition-Based Weight Projection Method for Stable State-Space Neural-Network Architectures
Sergio Vanegas, Lasse Lensu, Fredy Ruiz
2026-10-21
LitePT: Lighter Yet Stronger Point Transformer
Yuanwen Yue, Damien Robert, Jianyuan Wang, Sunghwan Hong, Jan Dirk Wegner, Christian Rupprecht, Konrad Schindler
2026-10-21
BiMoGen: Bidirectional Motion-Text Generation via Unified Masked Discrete Diffusion
Wanjiang Weng, Yongliang Wu, Xiaofeng Tan, Xingyu Zhu, Wenbo Zhu, Hongsong Wang
2026-10-21
Unfolding 3D Gaussian Splatting via Iterative Gaussian Synopsis
Yuqin Lu, Yihua Dai, Yang Zhou, Guiqing Li, Shengfeng He
2026-10-21
An auditable conditional-strategy framework for open-ended decision-making in complex lung cancer
Daoyun Wang, Zhicheng Huang, Huaiyuan Sun, Jiaqi Xu, Xiaowei Xu, Zhibo Zheng, Zhongxing Bing, Yuxiao Lin, Yicheng Liang, Chao Gao, Bowen Xue, Kai Zhang, Song Xu, Wanpu Yan, Hui Xia, Lin Li, Xiang Yan, Mu Hu, Qianli Ma, Zhiqiang Xue, Xiaofang Liu, Zhihai Han, Nan Zhang, Chuanhao Tang, Tongmei Zhang, Lan Song, Zhaohui Zhu, Xuan Zeng, Shafei Wu, Hui Guan, Lei Deng, Huaxia Yang, Zeliang Lian, Wubin Sun, Yongxin Wang, Xiaohui Shen, Binlin Wang, Tiantian Gu, Yu Cui, Li Zhang, Shirui Wang, Naixin Liang
2026-10-21
Let It Be Simple: One-Step Action Generation for Vision-Language-Action Models
Yitong Chen, Shiduo Zhang, Jingjing Gong, Xipeng Qiu
2026-10-21
Stochastic Pruning of the DPO Computation Graph: 1.4x Faster Training and Lower Peak Memory
Yubing Wu, Wei Chen, Junmei Yang, Delu Zeng, Tiewen Pan
2026-10-21
Melange: A Synthetic Visual Bias Benchmark for Multi-modal Large Language Models
Razieh Rezaei, Ehsaneddin Asgary, Masoud Jalili Sabet
2026-10-21
Block Diffusion for Longitudinal EHR: Accuracy, Efficiency, and Representation Trade-offs
Ashvin Gupta, Joshua Placidi, Brendan Delaney, Alessandra Russo
2026-10-21
Phase Transitions in Learning Driven by Extremal Data
Ethan Levien, Trevor GrandPre
2026-10-21
Crystal-structure design by agentic AI in a language of motifs
Dinh-Khiet Le, Minh-Quyet Ha, Hong-Phuc Vu-Dinh, Viet-Cuong Nguyen, Huan Tran, Truyen Tran, Takashi Miyake, Hiori Kino, Hieu-Chi Dam
2026-10-21
A unified approach for estimation of unnormalized models via Stein operators
Mitsuki Nagai, Keisuke Yano
2026-10-21
Shortcut-Resistant CAM Distillation for Long-Tailed Recognition
Wenhai Wan, Teng Zhang, Shao-Yuan Li, Xinrui Wang, Qiang-Sheng Hua, Songcan Chen
2026-10-21
Keeping Time vs. Understanding Time: Neither Alone Explains Temporal Reasoning in LLMs
Auss Abbood, Fernando Martínez-Plumed, José Hernández-Orallo, Nigel Collier
2026-10-21
Scaling Multilingual Mixture-of-Experts: How Language Coverage Changes Capacity and Compute Allocation
Joel Dag, Nikit Srivastava, Hamada M. Zahera, Axel-Cyrille Ngonga Ngomo
2026-10-21
Accurate and Efficient Multi-Channel Time Series Forecasting via Sparse Attention Mechanism
Lei Gao, Hengda Bao, Jingfei Fang, Guangzheng Wu, Weihua Zhou, Yun Zhou
2026-10-21
S$^2$-MAS: A Society-Scale Multi-Agent Simulation Framework with 500 Million Household Persona Agents
Yang Li, Di Wan, Yike Wang, Chujun He, Zongsi Xu, Xiyu Chen, Sheng Zhong, Deng Binjie, Zhenwei Guo, Hou Jun, Kunhan Guo, Weihao Lin, Tuo Zhou, Hai Liu, Ye Luo
2026-10-21
Parallel Thinking for Large Language Model with Path Diversity
Jiaru Qian, Yihong Dong, Xue Jiang, Chun-Wah Hsu, Zhi Jin, Ge Li
2026-10-21
A Strong MoE Is All You Need for Process Supervision
Guanzhi Deng, Zengyan Liu, Haibo Wang, Kuan Wu, Shing Yin Wong, Sichun Luo, Zhuoran Wang, Linqi Song
2026-10-21
Balancing Foundation Models and Trait-Specific Learning for Forehead-Crease Recognition
Geetanjali Sharma, Aryan Jain, Dev Nagaich, Aditya Nigam, Raghavendra Ramachandra
2026-10-21
The Sample Complexity of Multiple Change Point Identification under Bandit Feedback
Maximilian Graf, Victor Thuot
2026-10-21
Beyond Appearance Shifts: Task-Semantic Action Calibration for VLA Models
Shuaijun Liu, Feiyang You, Chengyu Wu, Shuyang Hao, Chenglong Zhang, Jingyao Cai, Xingwei Chen, Li Sun, Ningxin Su
2026-10-21
What Transfers from Text to Vision? Capability Scaling Laws and Transfer Dynamics for VLMs
Ziran Li, Qiang Wang, Zhengyu Chen, Shanglin Lei, Borun Chen, Jingang Wang, Xunliang Cai
2026-10-21
From Value Conditioning to Behavioral Shift: Lightweight Value Alignment of LLMs
Shangrui Nie, Florian Mai, David Kaczér, Charles Welch, Zhixue Zhao, Lucie Flek
2026-10-21
SCOPE-RL: Stable and Quantitative Control of Policy Entropy in RL Post-Training
Chen Wang, Zhaochun Li, Jionghao Bai, Hexuan Deng, Guanting Dong, Ge Lan, Yue Wang
2026-10-21
GLUScope: A Tool for Analyzing GLU Neurons in Transformer Language Models
Sebastian Gerstner, Leonor Veloso, Hinrich Schütze
2026-10-21
IndoNutriQA: An Indonesian Clinical Nutrition Question Answering Benchmark
Tirana Noor Fatyanosa, Ummu Ditya Erliana, Mahendra Data, Muhammad Nurwegiono, Eleazar Tadeo Eman, Alham Fikri Aji
2026-10-22

Fresh Papers

DreamX: Video Diffusion Model is a Universal Latent Action Learner
Jisoo Kim, Chaehyun Kim, Junsu Kim, Jiho Park, Seongchan Kim, Eunbeen Hong, Soowon Son, Fu-En Yang, Seungryong Kim
2026-11-03
From Autonomous Agents to Cognitive Symbionts: Toward AI-Augmented Human Intelligence
Hao Fei
2026-11-03
Aligning Language Models with General Preferences: An Empirical Study of Direct Nash Optimization
Austin Tsai, Saurav Nanda, Ganapathy Parthasarathy, Bhuvnesh Kumar, Parivesh Choudhary
2026-11-03
PolicyIK: High-Precision Inverse Kinematics for Robot Arms with Reinforcement Learning
Yuhan Liu, Xinqi Liu, Zixuan Dong, Keith W. Ross, Shenji Wan
2026-11-03
Dexterous In-Hand Object Pose Reaching with Learned Safety Filters
Ian Chuang, Hiya Shah, Vamsi Chilamkur, Iman Soltani, Claire Tomlin
2026-11-03
GUILD: Guided Iterative Data Collection for Imitation Learning
Shivin Dass, Kevin Nguyen, Rohan Yelandur, Junhong Xu, Roberto Martín-Martín
2026-11-03
Fine-Tuning VLAs with Self-Demonstrated Generative Control for Multi-Task Manipulation
Prachi Garg, Steve Xing, Prahit Yaugand, Saurabh Gupta, Derek Hoiem
2026-11-03
Visibility-Aware Reference Generation for Benchmarking Visual 3D Reconstruction in Vegetation-Rich Environments
Zhipeng Zhong, Matthew Coombes, Cunjia Liu
2026-11-03
GSCV++: Lightweight 3D Gaussian Splatting Sequence Compression via Standard Video Codecs
Qi Yang, Yingzhan Xu, Kai Zhang, Li Zhang
2026-11-03
Suppressing Misaligned Behaviors in Language Models, Durably
Luxi He, Pengcheng Jiang, Jifan Zhang, Jiawei Han, Danqi Chen
2026-11-03
Reading Why: Born-Measured Attention with Exact Word Evidence on Light and Qubits
Teerawat Tongloy, Jiraporn Pongsopa, Rangsan Jomtarak
2026-11-03
Annotations Mitigate Post-Training Mode Collapse
Jacob Mitchell Springer, Madhu Advani, Lukas Aichberger, Arwen Bradley, Eran Malach, Omid Saremi, Sinead Williamson, Preetum Nakkiran, Etai Littwin, Aditi Raghunathan
2026-11-03
OpenBrain: An Auditable Generated-Label Release for Whole-Brain MRI Parcellation
Qizhen Lan, Yu-Chun Hsu, Yuxiang Wei, Lijing Zhu, Zenan Sun, Liang He, Lishan Yu, Xiaoqian Jiang
2026-11-03
Agnostic Learning by Imitating
Sílvia Casacuberta, Parikshit Gopalan, Varun Kanade, Omer Reingold, Konstantinos Stavropoulos, Pranay Tankala
2026-11-03
Adversarial Speculative Reasoning Improves Long Horizon Agents
Hongyin Luo, Wei Fang, Lijie Yang, Owen Stepan, Daniel Suit, Jeff Krapf, Dana Wensberg, Jack O'Brien
2026-11-03
Toward Identifiable Sparse Autoencoders
Walter Nelson, Theofanis Karaletsos, Francesco Locatello
2026-11-03
A Circuit for In-Context Learning
Andrew Gao, William Gao
2026-11-03
TOPPO: Rethinking PPO for Multi-Task Reinforcement Learning with Critic Balancing
Yuanpeng Li, Gefei Lin, Annie Qu, Rui Miao
2026-11-03
trajectory-judge: What Outcome-Only LLM Judges Miss on Agent Trajectories
Hadi Mohammadi
2026-11-03
Weight-space programming for auditing clinical decision networks
Humza Nusrat, Omar Nusrat
2026-11-03
MedPhysBench: A Benchmark for Evaluating Language Models on Medical Physics Calculations and Error Detection
Omar Nusrat
2026-11-03
Quantile Propagation Planning for Budgeted Tail-Risk Evaluation
Weijia Han, Zhi Huang, Lisha Qu, Yuanyuan Tan, Jiayue Meng, Wenjun Chen, Liying Liang, Bangjie Deng
2026-11-03
Pretraining Knows What, Simulation Teaches How: Compositional Generalization for Agentic Robotics
Benjamin Pikus, Daniel Saunders, Mircea Mironenco, Salman Mohammadi, Mathew Mathew, Sirou Zhu, Divya Makkar, Xuhua Huang, Qinbo Li, Supreeth Narasimhaswamy, Siyuan Cen, Dejia Xu, Shyamal Buch, Thomas Neff
2026-11-03
A simple adaptive accelerated optimistic dual averaging method for unconstrained convex optimization in $p$-norm geometry
Bowen Li, Danqing Zhou, Chuan He
2026-11-03
LeanPRM: Lean-Grounded Process Supervision for Natural Language Proof Verification
Rodney Lafuente-Mercado, Salman Rahman, Jingyan Shen, James Shiffer, Saadia Gabriel, Pavel Izmailov
2026-11-03
CATF: A Manager-Worker Framework for Context-Aware Time-Series Forecasting
Yueqiao Chen, Dongyu Liu
2026-11-03
Scaling Graph Reasoning in Language Models with Learnable Graph Positional Encodings
Javier Porras-Valenzuela, Arush Arora, Alejandro Ribeiro
2026-11-03
PyRUA-DataFarm: LLM Agent as a Cost-Efficient Teleoperator for Real-Ready Robot Data
Kewei Zhang, Juncheng Ma, Guodong Lv, Duomin Wang, Feixiang Ruan, Ruiyang Si, Chuanrui Zhang, Yuxuan Chen, Hao Chen, Yichen Liu, Yintianrun Zhang, Yufan Deng, Enze Xie, Daquan Zhou
2026-11-03
HARP: Training-Free Dual-Profile Agentic Communication for LLM-Based Recommendation
Zhen Tao, Xun Zhou, Xuhui Chen, Ziyue Qiao, Qingqiang Sun
2026-11-03
MDSKILL: Learning to Internalize Skill Memory through Multi-View Distillation for Efficient Dynamic Agent Self-Evolution
Dian Jin, Jinluan Yang, Kairong Han, Baohong Li, Zijing Hu, Yi He, Wenlin Zhong, Yunze Tong, Minqin Zhu, Linchuan Li, Yanan Niu, Kun Kuang
2026-11-03

reinforcement learning

One to More, More to One: Category-Aware Iterative Expert Training for Software Engineering Agents
Jie Zhao, Ziyu Jiang, Suhang Zheng, Minghui Shan, Xiaoxiao Xu, Lin Qu
2026-10-29
Near Minimax Rate for Quantile Distributional Reinforcement Learning
Zijie Cheng, Zhihua Zhang
2026-10-21
CineEvolve: An Agentic Self-Evolution Framework for Cinematic Multi-Shot Video Generation
Jingzhe Zhang, Peixuan Zhang, Genying Li, Bing Ma, Shuchen Weng, Si Li, Boxin Shi
2026-10-21
Remote Rowhammer Attack using Adversarial Observations on Federated Learning Clients
Jinsheng Yuan, Yuhang Hao, Weisi Guo, Yun Wu, Chongyan Gu
2026-10-21
Generalized CycleGRPO for Fine-Grained Multimodal Understanding and Grounding
Xin Zhang, Haochen Wang, Beibei Lin, Zhaoxiang Zhang, Robby T. Tan, Jason Li, Dacheng Tao
2026-10-21
RCSD: Reinforcement and Continual Learning for Domain-Specific Speculative Decoding
Mingkang Liu, Weiming Meng, Peipei Jiao, Jiawei Zhang, Tianyuan Liu, Junyan Li, Lichen Pang
2026-10-21
ChemBART: Pre-training a Reaction Language Model for Comprehensive Synthesis Planning
Kenan Li, Yijian Zhang, Jin Wang, Haipeng Gan, Zeying Sun, Xiaoguang Lei, Hao Dong
2026-10-21
Parallel Thinking for Large Language Model with Path Diversity
Jiaru Qian, Yihong Dong, Xue Jiang, Chun-Wah Hsu, Zhi Jin, Ge Li
2026-10-21
AdaGuard: An Adaptive Guard Model with User-defined Policies
Yunhao Feng, Yifan Ding, Yuxiang Xie, Zheng Li, Mingrui Lao, Zeyuan Wang, Yanming Guo
2026-10-21
SCOPE-RL: Stable and Quantitative Control of Policy Entropy in RL Post-Training
Chen Wang, Zhaochun Li, Jionghao Bai, Hexuan Deng, Guanting Dong, Ge Lan, Yue Wang
2026-10-21
Flow Matching Policy Optimization with Mirror Descent and Entropy Constraints
Ting Gao, Stavros Orfanoudakis, Nan Lin, Winnie Daamen, Serge Hoogendoorn, Elvin Isufi
2026-10-21
Harness Scaling for Generalizable Agentic Reinforcement Learning
Fei Bai, Huatong Song, Chuan Hao, Ran Tao, Jian Yang, Bryan Dai, Wayne Xin Zhao, Ji-Rong Wen
2026-10-21
WeGR: Towards Unified Generative Retrieval via Behavior-aware Tokenization and Preference Alignment
Jiajun Han, Guoxin Ma, Felix, Liangsheng Xu, Ruiqi Yu, Yingdi Guo, Zongbing Wang, Xinhua Ye, Chenyan Hua, Xin Xie, Pengcheng Yang, Haijun Wu
2026-10-21
Pessimistic Latent Task-aware Optimization for Robust Offline Meta-Reinforcement Learning
Chang-Hoon Jeong, Kisung Shin, Hanwool Sul, Byoung-Tak Zhang
2026-10-21
Beyond Policy Discrepancy: Capability-Aware Multi-Teacher On-Policy Distillation
Xuanfeng Yang, Le Gai, Jiaming Wang, Xuan Zhang
2026-10-21
One Act, Many Masks: Effect-Marginal Policy Optimization for Long-Horizon Agents
Shaojin Ma, Ruitao Wang, Pengyi Li, Jie Yang, Liangyu Chen, Gangyi Zhao, Hongyao Tang, Yan Zheng, Jianye Hao
2026-10-21
BIRD-RL: Scaling Agentic Reinforcement Learning over Stateful Data-Centric Environments
Ge Qu, Jinyang Li, Xiaohan Xu, Xiaolong Li, Bowen Qin, Nan Huo, Ziwei Tang, Chenhao Ma, Reynold Cheng
2026-10-21
The Predictive--Optimization Gap in GuanDan Self-Play
Qicheng Zou, Biao Yuan, Siyu Song, Wentao Liu, Xiaokun Wang
2026-10-21
A Survey of On-Policy Distillation for Large Language Models
Mingyang Song, Mao Zheng
2026-10-21
MICA: Multi-granularity Intertemporal Credit Assignment for Long-Horizon Emotional Support Dialogue
Naifan Zhang, Ruihan Sun, Jinwei Su, Hengjie Yang, Zhengyuan Pan, Zhaohan Chen, Xiaofan Zhang
2026-10-21
AdvFidelity: Unifying Preference Alignment and Few-Step Image Generation within Reinforcement Learning
Sicong Kang, Fangao Zeng, Yuhan Li, Hao Zhou, Mengfei Xu, Wenxiang Shang, Wei Li, Bingbing Ni, Pipei Huang
2026-10-21
The Answer Lies Within: Self-Derived Rewards Enable Explainable Relation Extraction
Xinyu Guo, Zhengliang Shi, Minglai Yang, Mahdi Rahimi, Mihai Surdeanu
2026-10-21
DISRL: Dual-Scale Incremental Semi-Supervised Reinforcement Learning for Dynamic Community Tracking
Tianming Zhang, Jinxu Wang, Yixuan Zhang, Zhengyi Yang, Chenyu Hou, Bin Cao, Jing Fan
2026-10-21
Flat-RLVR: Sharpness-Aware Reinforcement Learning with Verifiable Rewards for Reasoning Capacity in LLMs
Yeonbum Kim, Hyun Kyu Lee, Sung Whan Yoon
2026-10-21
MA-UITD: Offline Multi-Agent Reward Inference for Characterizing Continuous Social Behavior
Zeyuan Zhang, Yiyun Yang, Yuan Cheng, Herbert Zheng Wu, Yusi Chen
2026-10-21
Reasoning-Search-Augmented LLMs: An Operational Taxonomy, Benchmark Analysis and Controlled Evidence Synthesis
Biswas Poudel, Nilson Chapagain, Amit Kumar, Xianshun Jiang
2026-10-21
A Decade of Learning-Based Control: From Theoretic Foundations to Practical Deployment
Angela P. Schoellig, Matthias A. Müller, Sebastian Trimpe, Melanie N. Zeilinger, Mahathi Anand, Andrea Carron, Oliver Hausdörfer, Victor G. Lopez, Friedrich Solowjow, Haocheng Zhao, Siqi Zhou
2026-10-21
LocalAgent: Collaborative Agentic Verification for Fine-Grained Instance-Level Consistency
Jiachen Guo, Xinshan Zhu, Boyun Wang, Yanyan Liang, Jun Wan, Feng Lin, Ajian Liu
2026-10-21
SAFTER: Safety-Aware Filtering Through Explicit Recoverability for Robust Reinforcement Learning under Distribution Shift
Benedictus C. G. Cinun, Bin Hu
2026-10-21
PailitaoMMSearch2.0 Technical Report: Scaling Generative Retrieval to Unified End-to-End Multimodal Search
Xiaohan Ye, Zihan Gong, Jingqian Zhao, Lianyu Du, Yunmeng Shu, Xu Chen, Zesheng Zhou, Renchun You, Bocheng Chen, Jinsong Lan, Haihong Tang, Bo Zheng
2026-10-27

language

SACQ: Structure-Aware Codebook Quantization for Ultra-Low-Bit Vision-Language-Action Models
Haesung Lee, Insu Han
2026-10-30
Atom as an Agent: Emergent Order by Collective Predictive Coding
Koji Hashimoto, Tadahiro Taniguchi
2026-10-27
Trading Agents or Market Crashers? Dissecting Robustness and Security Failures in Academic Financial LLM Trading Schemes
Mengxiao Wang, Nitesh Saxena
2026-10-25
XGLASS: X-Ray, Gaze and Language Assisted Slice Sequencing for CT Volumes
Michael Glöckler, Timo Ropinski
2026-10-21
PACE: Periodic and Channel-Aligned Encoding of Four-Bit Recurrent States
Patrick Haller, Filipe Laitenberger, Alan Akbik
2026-10-21
CineEvolve: An Agentic Self-Evolution Framework for Cinematic Multi-Shot Video Generation
Jingzhe Zhang, Peixuan Zhang, Genying Li, Bing Ma, Shuchen Weng, Si Li, Boxin Shi
2026-10-21
BiMoGen: Bidirectional Motion-Text Generation via Unified Masked Discrete Diffusion
Wanjiang Weng, Yongliang Wu, Xiaofeng Tan, Xingyu Zhu, Wenbo Zhu, Hongsong Wang
2026-10-21
Melange: A Synthetic Visual Bias Benchmark for Multi-modal Large Language Models
Razieh Rezaei, Ehsaneddin Asgary, Masoud Jalili Sabet
2026-10-21
TabAgent: Distilling LLM Agent Components into Cheap Classifiers
Ido Levy, Segev Shlomov, Avi Yaeli, Nir Mashkif, Asaf Adi, Yinon Goldshtein, Eilam Shapira, Leshem Choshen
2026-10-21
A Comprehensive Evaluation on Quantization Techniques for Large Language Models
Yutong Liu, Cairong Zhao, Guosheng Hu
2026-10-21
AfrIFact: Cultural Information Retrieval, Evidence Extraction and Fact Checking for African Languages
Israel Abebe Azime, Jesujoba Oluwadara Alabi, Crystina Zhang, Iffat Maab, Atnafu Lambebo Tonja, Tadesse Destaw Belay, Folasade Peace Alabi, Salomey Osei, Saminu Mohammad Aliyu, Nkechinyere Faith Aguobi, Bontu Fufa Balcha, Blessing Kudzaishe Sibanda, Davis David, Mouhamadane Mboup, Daud Abolade, Neo Putini, Philipp Slusallek, David Ifeoluwa Adelani, Dietrich Klakow
2026-10-21
A Robust Evaluation of Probe Robustness: Lessons for Reliable OOD Uncertainty Quantification
Joe Stacey, Hadas Orgad, Kentaro Inui, Benjamin Heinzerling, Nafise Sadat Moosavi
2026-10-21
WRDO: Weighted Refusal Direction Optimization in Aligned Language Models
Grigoriy Evseev, Vladimir Solodkin, Dmitry Bylinkin, Daniil Medyakov, Vladimir Aletov, Aleksandr Beznosikov
2026-10-21
Generalized CycleGRPO for Fine-Grained Multimodal Understanding and Grounding
Xin Zhang, Haochen Wang, Beibei Lin, Zhaoxiang Zhang, Robby T. Tan, Jason Li, Dacheng Tao
2026-10-21
Let It Be Simple: One-Step Action Generation for Vision-Language-Action Models
Yitong Chen, Shiduo Zhang, Jingjing Gong, Xipeng Qiu
2026-10-21
Unlocking Spatial Grounding in Flow-Matching Models via SNR Tuning
Martin Thißen, Elke Hergenröther
2026-10-21
Are Joint-Embedding Predictive Objectives Effective for Longitudinal EHRs?
Ashvin Gupta, Brendan Delaney, Alessandra Russo
2026-10-21
RCSD: Reinforcement and Continual Learning for Domain-Specific Speculative Decoding
Mingkang Liu, Weiming Meng, Peipei Jiao, Jiawei Zhang, Tianyuan Liu, Junyan Li, Lichen Pang
2026-10-21
Beyond the Vote: When Do LLMs Add Value to Retrieval-Based Tabular Classification?
Ziquan Wang, Yuxuan Nie, Jian Ma, Yingjie Li
2026-10-21
Mitigating Query Shortcuts in Chain-of-Thought with Context-Aware Decoding
Shin'ya Yamaguchi
2026-10-21
Crystal-structure design by agentic AI in a language of motifs
Dinh-Khiet Le, Minh-Quyet Ha, Hong-Phuc Vu-Dinh, Viet-Cuong Nguyen, Huan Tran, Truyen Tran, Takashi Miyake, Hiori Kino, Hieu-Chi Dam
2026-10-21
Scaling Multilingual Mixture-of-Experts: How Language Coverage Changes Capacity and Compute Allocation
Joel Dag, Nikit Srivastava, Hamada M. Zahera, Axel-Cyrille Ngonga Ngomo
2026-10-21
Predictor-Guided Latent Space Codon Optimization for Maximizing Protein Expression
Alberto Caron, Tianyu Cui, Dmytro S. Lituiev, Mangal Prakash, Artem Moskalev, Amina Mollaysa, Bo Zhai, Hirsh Nanda, Daniel M. Poole, Zhongyin Liu, Iman Farasat, Robert Davidson, Nikolay V. Manyakov, Tommaso Mansi, Scott Oloff, Rui Liao
2026-10-21
ChemBART: Pre-training a Reaction Language Model for Comprehensive Synthesis Planning
Kenan Li, Yijian Zhang, Jin Wang, Haipeng Gan, Zeying Sun, Xiaoguang Lei, Hao Dong
2026-10-21
Parallel Thinking for Large Language Model with Path Diversity
Jiaru Qian, Yihong Dong, Xue Jiang, Chun-Wah Hsu, Zhi Jin, Ge Li
2026-10-21
Balancing Foundation Models and Trait-Specific Learning for Forehead-Crease Recognition
Geetanjali Sharma, Aryan Jain, Dev Nagaich, Aditya Nigam, Raghavendra Ramachandra
2026-10-21
AdaGuard: An Adaptive Guard Model with User-defined Policies
Yunhao Feng, Yifan Ding, Yuxiang Xie, Zheng Li, Mingrui Lao, Zeyuan Wang, Yanming Guo
2026-10-21
Beyond Appearance Shifts: Task-Semantic Action Calibration for VLA Models
Shuaijun Liu, Feiyang You, Chengyu Wu, Shuyang Hao, Chenglong Zhang, Jingyao Cai, Xingwei Chen, Li Sun, Ningxin Su
2026-10-21
What Transfers from Text to Vision? Capability Scaling Laws and Transfer Dynamics for VLMs
Ziran Li, Qiang Wang, Zhengyu Chen, Shanglin Lei, Borun Chen, Jingang Wang, Xunliang Cai
2026-10-21
Benchmarking Classification Tasks of Chest X-ray AI Across Multinational Public and Private Datasets: a retrospective diagnostic accuracy study
Qinmei Xu, Yiheng Li, Wenya Zhao, Zihao Zhao, Chuanjun Xu, Ahmet Gorkem Er, Xianghao Zhan, Brittany Dashevsky, Mohammed Alawad, Marc von der Stück, Marvin Gazibarić, Daniel Truhn, Shunsuke Shibata, Ryosuke Horino, Mio Ito, Akio Hiwatashi, Suyu Li, Mengya Yang, Ya Liu, Zhiyuan Sun, Changsheng Zhou, Haruka Itakura, Xiao Li, Olivier Gevaert
2026-10-24