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Hot Papers

Anvil: Scaling Embodied Spatial Intelligence through Knowledge Recirculation
Weilin Ruan, Bohan Zhou, Jinghao Li, Yangkai Wei, Wenqian Li, Peiran Dong, Yingjie Xu, Leyi Wu, Haojian Huang, Binghui Xie, Han Yang, Kaiwen Zhou, Yinchuan Li, Ying-Cong Chen, James Cheng
2026-10-15
Rethinking Cross-Layer Information Routing in Diffusion Transformers
Chao Xu, Maohua Li, Qirui Li, Yixuan Xu, Yanke Zhou, Yunhe Li, Cuifeng Shen, Hanlin Tang, Kan Liu, Tao Lan, Lin Qu, Shao-Qun Zhang
2026-10-20
LeakBench: Auditing Reward Hacking through Prediction-Time Leakage in Clinical Modeling Agents
Xiaoyuan Bao, Jingsi Jiang, Jiao Shan, Yulong Cao, Haoyu Wang, Zida Liu, Jun Gao
2026-10-19
PET Quantification-Preserving Registration for Longitudinal Whole-Body PSMA PET/CT
Fryderyk Kögl, Anna Reithmeir, Daniel M. Lang, Emily Chan, Rickmer Braren, Julia A. Schnabel
2026-10-15
Blackbox Performance Analysis of LLM-based Network Control
Mahdi Alizadeh, Pooria Namyar, Arvin Ghavidel, Ramesh Govindan
2026-10-20
LMSpell: Spell Correction with Pre-Trained Language Models
Akesh Gunathilake, Nadil Karunarathna, Tharusha Bandaranayake, Nisansa de Silva, Surangika Ranathunga, Nevidu Jayatilleke
2026-10-08
ContiLNN: Mitigating Slice Sampling Discontinuity with Liquid Neural Networks for Medical Image Restoration
Jialei He, Enhe Liu, Sifan Song, Pengfei Jin, Jionglong Su, Hongbin Wang, Zhixiang Lu, Yanhao Huang, Anteng Cai, Zhengyong Jiang, Jiaman Ding, S. Kevin Zhou, Jinfeng Wang
2026-10-08
asdex: Automatic Sparse Differentiation in JAX
Adrian Hill, Guillaume Dalle
2026-10-08
An Algebraic Approach to Constrained K-means Clustering
Hiroki Oohori, Kentaro Fukushima, Michio Yamamoto
2026-10-10
Know-Thy-Not: Training-Free Targeted Negation in Dual-Encoder Vision-Language Models
DoYoung Kim, Changkyu Choi, Adín Ramírez Rivera, YunSeok Choi, Jee-Hyong Lee
2026-10-12
Bringing Generative Learning to Representation Learning: Self-Supervised Transfer Learning as Distribution Matching
Yuling Jiao, Wensen Ma, Defeng Sun, Hansheng Wang, Yang Wang
2026-10-11
LIFT: Likelihood-Based Intervention Faithfulness Training
Anand Swaroop, Maheep Chaudhary, Kevin Zhu, Sunishchal Dev, Vasu Sharma
2026-10-12
Representational Similarity Alignment of Figurative Language in Humans and Large Language Models
Samhita Bollepally, Aurora Sloman-Moll, Takashi Yamauchi, Neeka Motamedrasa
2026-10-11
Towards Universal Calibration for In-Context Classification
Awik Dhar, Sunita Sarawagi, Arpit Agarwal
2026-10-12
UZHCL_for_the_win at Touche: Encoder Fine-Tuning, Synthetic Augmentation, and an Underpowered Encoder-LLM Comparison
Psychias Stylianos
2026-10-12
Definition Grounding in Theory-Level Auto-formalization
Leyan Pan, Christian Szegedy, Frederick Rajasekaran, Robi Bhattacharjee, Gregory Constantine, Wenke Lee
2026-10-13
Design Space Exploration of Reinforcement Learning Configurations for Post-Legalization Placement
Foteini Oikonomou, Maria Pantazi-Kypraiou, George Goudroumanis, Pavlos Stoikos, Athanasios Tziouvaras, Christos Anagnostopoulos, Georgios Karakonstantis, George Floros
2026-10-14
Generative Recursive Reasoning
Junyeob Baek, Mingyu Jo, Minsu Kim, Mengye Ren, Yoshua Bengio, Sungjin Ahn
2026-10-15
Task-State Governance: A Virtual Machine for Verifiable and Recoverable GUI Agent Execution
Wenkui Yang, Yiming Hao, Kai Zhou, Chengyu Pu, Yuzhe Zhang, Jie Cao, Jin Huang, Shuai Ma, Feng Tian
2026-10-14
Is Peer Review Really in Decline? Analyzing Review Quality across Venues and Time
Ilia Kuznetsov, Rohan Nayak, Alla Rozovskaya, Iryna Gurevych
2026-10-08
Can escalation channels redirect reward hacking toward defect disclosure?
Francesca Gomez
2026-10-09
Distinguishability of causal structures under latent confounding and selection
Ryan Carey, Marina Maciel Ansanelli, Elie Wolfe, Robin J. Evans
2026-10-17
Shared Canonical Component Removal Beyond Expert Views
Jose Roberto Tello Ayala, Akl C. Fahed, Roy Perlis, Finale Doshi-Velez
2026-10-09
Probabilistic Ship Trajectory Forecasting using Transformer Models on AIS Data
Frederik E. T. Schöller
2026-10-09
Simulating Training Spikes of Deep Neural Networks by Layer-wise Random Feature Models
Ran Tian, Courtney Paquette
2026-10-09
Virtual Encoders in Multimodal Transformers
Katsuya Ogata, Yuta Nakashima
2026-10-19
Multilingual Reasoning Cascades Need More Context
Arnav Mazumder, Dengjia Zhang, Shuyue Stella Li, Yulia Tsvetkov, Niyati Bafna
2026-10-19
Embedding Information in Policy Randomness: Distribution-Preserving Implicit Communication in MDPs
Gongpu Chen, Deniz Gündüz
2026-10-11
QORH: Learning Query-Specific Ordered Rule Hypergraphs for Inductive Knowledge Graph Link Prediction
Naixing Xu
2026-10-13
Coupled Harness--Model Evolution for Scientific Equation Discovery
Pengze Li, Jiaquan Zhang, Encheng Su, Yunbo Long, Zihang Zeng, Xinping Liu, Han Zhang, Junchi Yu, Shixiang Tang, Aoran Wang, Xi Chen
2026-10-13

Fresh Papers

World of SWECraft: Agent Collaboration at Scale via Simulated Software Worlds
Shannon Zejiang Shen, Yapei Chang, Qiyao Liang, Benjamin Newman, Jenny Liang, Rulin Shao, Ziqiao Ma, Junjie Oscar Yin, Yung-Sung Chuang, Weijia Shi, Yejin Choi, Luke Zettlemoyer, Pang Wei Koh, Mohit Iyyer, Tongshuang Wu, David Sontag
2026-10-21
LongZero: Enhancing Long-Context Reasoning in LLMs from Zero Data
Zhennan Wan, Jianfei Chen
2026-10-21
Rethinking Video Autoencoders for Interactive World Models
Adrien Ramanana Rahary, Yutong Bai, Nicolas Dufour, Patrick Pérez, David Picard
2026-10-21
Think Harder Where It Matters: Item-Level Adaptive Recursion for Sequential Recommendation
Zhanshuo Cao, Jiakai Tang, Yuqi Zhou, Sunhao Dai, Jun Xu
2026-10-21
VoxProg: 3D Spatial Reasoning through Voxel Programming
Zhichao Zhai, Menglei Zhao, Guikun Chen, Zihao Yan, Kanzhi Wu, Wenguan Wang, Jun Xiao
2026-10-21
PhysiCalWorld: In-Context Physics Calibration for World Models
Yunhao Luo, Wentao He, Yinpei Dai, Hyelin Nam, Hongze Fu, Joyce Chai, Nima Fazeli, Jeong Joon Park
2026-10-21
A Quasipolynomial Algorithm for $\ell_\infty$ Contractions
Ashkan Soleymani, Gabriele Farina
2026-10-21
Geometric Algebra for Neural Networks: A Survey
Tao Zhong, Kaison Fong, Keqin Wang, Christine Allen-Blanchette
2026-10-21
ALPS: Visual State Encoders for World Models
Yanqing Liu, Letian Zhang, Chengzhi Liu, Zijun Wang, Jieru Mei, Hongliang Fei, Yuyin Zhou, Cihang Xie
2026-10-21
Self-normalized Bernstein Inequalities for Regenerative Processes and Applications to Learning Without Independence
Imon Banerjee, Pierre Alquier
2026-10-21
The role of locality and weight sharing in convolutional neural networks
Francesco Mori, Melanie Weber
2026-10-21
Environment Duels: A Microcosm of LLM Co-Evolution
Shibo Jin, Zhiqiu Xu, Yiling Zou, Shangyu Gong, Mayur Naik
2026-10-21
The End of Consensus Research?
Clément Burgelin, Rachid Guerraoui, Zicong Hong, Yinan Hu, Anne-Marie Kermarrec, Rafael Pires, Rasmus Moorits Veski, Martijn de Vos
2026-10-21
Hierarchical Gaussian Processes for Survey Weighting: Local Equivalent Weights in Structured Populations
Seonghun Lee
2026-10-21
Quant-Arena: Benchmarking LLM Agents for Quantitative Trading Research
Houde Qian, Zheng Jiang, Wenyi Li, Chenxi Xu, Xinjie Lin, Yuzhao Peng, Ruoyu Han, Youjie Zheng, Kaisen Yang, Qinhuai Na, You Fu, Calvin Xiao
2026-10-21
Minimax Optimality of the NPMLE for Gaussian Mixtures in Hellinger Distance
Shayan Hundrieser, Tudor Manole
2026-10-21
Multimodal Embodied Agents: A Unified Capability-centric Perspective from Computer-Use to Robot-Use
Yanzhe Chen, Ziyi Yang, Jifeng Zhu, Qiming Huang, Ruihe An, Peiyao Xu, Hesen Yang, Runda Liu, Chang Gong, Zhijun Cao, Zechen Bai, Wenzheng Zeng, Yiqi Lin, Guoqiang Liang, Kevin Yuchen Ma, Kevin Qinghong Lin, Mike Zheng Shou
2026-10-21
Velocity Ambiguity Profiles: Time-Resolved Bayes-Risk Diagnostics for Flow Matching
Yunpeng Mei, Xiaowen Zhu, Chenyu Wang, Chenbo Xin, Hongjie Cao, Jiamin Wang, Jie Chen, Gang Wang
2026-10-21
Beyond Accuracy: Measuring Logical Compliance of Predictive Models
Guillaume Olivier Delplanque, Pierre Genevès, Nabil Layaïda
2026-10-21
Asymmetric On-Policy Distillation Learns In-Context Exploration
Sriyash Poddar, Yanda Bao, Jacob Krantz, Matthew Chang, Xavier Puig, Roozbeh Mottaghi, Natasha Jaques, Abhishek Gupta
2026-10-21
BatchBench: Benchmarking AI Robustness to Batch Effects and Domain Shift in Biomedical Images - A JUMP Cell Painting Leaderboard
Sonja Topf, Ana Sanchez-Fernandez, Günter Klambauer
2026-10-21
Did the Problem Actually Get Harder? Testing LLMs on Paired P and NP-Complete Problems Hardened by Adversarial Multi-Agent Rewriting
Nurul Labib Sayeedi, Md. Faiyaz Abdullah Sayeedi, Zabir Al Nazi, Mahbub E Sobhani, Shubhashis Roy Dipta
2026-10-21
$\mathbf{R}^3$: Reconstruction, Raw, and Rain: Deraining Directly in the Bayer Domain
Nate Rothschild, Moshe Kimhi, Avi Mendelson, Chaim Baskin
2026-10-21
On the Monitorability of Natural Language Autoencoders: Identification vs Discrimination
Kevin Yandoka Denamganaï
2026-10-21
Differentially Private Sparse Reward Estimation with Preference Feedback
Meng Ding, Mingxi Lei, Jie Zhang, Jinyan Liu, Di Wang
2026-10-21
AtomicRL: Atomic Reinforcement Learning for Long-Horizon Robotic Manipulation
Likui Zhang, Zhe Zhu, Zhihao Zhan, Yibo Bai, Hanlin Wang, Dongwei Li, Bin Wang, Tianle Zhang, Xiaodan Liang, Liang Lin
2026-10-21
Exploiting Concavity Information in Gaussian Process Contextual Bandit Optimization
Kevin Li, Eric Laber
2026-10-21
VX-One: Typed, Calibrated Decision Heads for Real-Time Perimeter Triage - An empirical study of unknown-attack honesty, cascade gray zones, and calibration under drift
Juan S. Santillana
2026-10-21
ProactEgoMem: Benchmarking Proactive Memory in Streaming Egocentric Video
Ruotong Liao, Meikel Kokowski, Xiaoxiao Sun, Yongqin Xian, Laura Bravo Sánchez, Shiye Su, Federico Tombari, Serena Yeung-Levy, Volker Tresp
2026-10-21
CanLegalRAGBench: Evaluating Retrieval-Augmented Generation on Canadian Case Law
Ethan Zhao, Maksym Taranukhin, Wei Cui, Moira Aikenhead, Vered Shwartz
2026-10-21

reinforcement learning

SWEAR: Section-Wise Efficient Audio Reasoning via Self-Rated Difficulty
Yixuan Li, Minghao Lv, Xuenan Xu, Zihao Zheng, Mengyue Wu
2026-10-09
Comprehensive Comparisons of Reinforcement Learning Algorithms in Autonomous Driving
Dechen Xie, Mushuang Liu
2026-10-14
Design Space Exploration of Reinforcement Learning Configurations for Post-Legalization Placement
Foteini Oikonomou, Maria Pantazi-Kypraiou, George Goudroumanis, Pavlos Stoikos, Athanasios Tziouvaras, Christos Anagnostopoulos, Georgios Karakonstantis, George Floros
2026-10-14
Thinking Outside the Box: Can Language Models Rely on External Guidance Selectively?
Minghan Wang, Boyuan Wang, Jinhang Zuo, Yuxin Tao, Fang Kong
2026-10-08
What is the goal of unsupervised machine learning?
Aapo Hyvärinen
2026-10-08
A 3D Characterization Framework for Intelligent Sequential Decision Making
Sadig Gojayev, Carolina Fortuna
2026-10-08
Can Jev be Your Q or Policy in Reinforcement Learning?
Yi Ma, Tianpei Yang, Yaodong Yang, Weixun Wang, Hongyao Tang
2026-10-08
Autoregressive Retriever: Improving Query Understanding from Item Feedback for Universal Multimodal Retrieval
Jianfei Zhao, Yifan Wang, Feng Zhang, Xin Sun, Chong Feng, Zhixing Tan, Yang Luo, Boyuan Pan, Xu Kai, Yao Hu
2026-10-08
Constrained Command-Conditioned Reinforcement Learning with Bandit Strategy Selection in Real-Time Strategy Games
Nick Leenders, Roy Lindelauf, Joost van Oijen, Boris Cule
2026-10-08
Learning from Own Solutions: Self-Conditioned Credit Assignment for Reinforcement Learning with Verifiable Rewards
Yingyu Shan, Yuhang Guo, Zihao Cheng, Zeming Liu, Xiangrong Zhu, Xinyi Wang, Jiashu Yao, Wei Lin, Hongru Wang, Heyan Huang
2026-10-08
Deconstructing Off-Policy Ratios: Entropy-Normalized Trust Regions for Asynchronous Reinforcement Learning
Guanqun Zhao, Zijun Xie, Binbin Zheng, Yehan Yang, Jiafeng Lu, Aoqi Hu, Enlei Gong, Zeyu Chen
2026-10-08
Learning to Orchestrate Evolutionary Search: Progression-Aware Deep Reinforcement Learning for Dynamic DE-CMA-ES Coordination in Optimization and Structural Model Updating
Lechen Li, Rongye Shi, Wanhuan Zhou
2026-10-08
SAIL: Scientific Agentic Intelligence via a Science-Aware Loop
SAIL Model Team, Boyuan Sun, Bryan Dai, Che Liu, Chi Liu, Derek Li, Hongming Piao, Mengzhuo Chen, Xidong Wang, Yan Shu, Yinda Chen, Ziyang Zeng
2026-10-08
SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs
Xiaoyuan Li, Moxin Li, Keqin Bao, Yubo Ma, Wenjie Wang, Dayiheng Liu, Fuli Feng
2026-10-08
When to Intervene? State-Aware Sparse Manipulation in Federated Reinforcement Learning
Shutong Zheng, Sijia Chen
2026-10-08
Residual Advantage: Student-Relative Teacher Guidance for RL with Verifiable Rewards
Xiaobing Chen, Zhiqi Pang
2026-10-08
Trust Region Q Adjoint Matching
Yonghoon Dong, Kyungmin Lee, Changyeon Kim, Jaehyuk Kim, Jinwoo Shin
2026-10-08
LiteGUI: Lightweight GUI Agents via Multi-Solution Guided Distillation and Dual-Level Reinforcement Learning
Yubin Wu, Zicheng Cai, Liping Ning, Hua Wang, Zhi Chen, Yaohua Tang, Hao Chen
2026-10-08
Fed-GRPO: Reward-Signal-Driven Federated Group Relative Policy Optimization
Pengxin Guo, Shuang Zeng, Zonggen Li, Weiying Zheng, Mengting Liu, Liangqiong Qu
2026-10-08
Delphos: A reinforcement learning framework for assisting discrete choice model specification
Gabriel Nova, Stephane Hess, Sander van Cranenburgh
2026-10-08
Environmental Feedback Modeling Matters: Rethinking Feedback Treatment in Agentic Hindsight Self-Distillation
Hangxi Guo, Fengyuan Liu, Yue Wang, Yuhua Qi, Haoyi Xiong, Fei Sun, Mengnan Du
2026-10-08
From a Prompt to Repertoires: Evolving Functional REpertoires Enable LLM Continual Learning
Fengyuan Liu, Yue Wang, Hangxi Guo, Fengyuan Liu, Chenxu Wu, Yanguang Liu, Mengnan Du
2026-10-08
SignRAG: Unified Retrieval-Augmented Gloss-Free Sign Language Translation
Zhi Rao, Yucheng Zhou, Qianran Sun, Yiqing Huang, Longcan Yuan, Jiayi Hou, Chengwen Yao, Lin Cheng, Donghui Sun, Xiaoxin Chen, Jun Wan
2026-10-08
RL-ARC: Calibrating Large Reasoning Models via Reasoning-guided Uncertainty
Gukhyeon Lee, SangKeun Lee
2026-10-08
Trust, Don't Trust, or Flip: Robust Preference-Based Reinforcement Learning with Multi-Expert Feedback
Seyed Amir Hosseini, Maryam Abdolali, Amirhosein Tavakkoli, Fardin Ayar, Ehsan Javanmardi, Manabu Tsukada, Mahdi Javanmardi
2026-10-08
SynCo: Data Synthesis Co-Training for Self-Evolving LLMs via Multi-Agent Reinforcement Learning
Wei Yang, Shawn Li, Yuehan Qin, Yawei Wang, Mingxi Wang, Shixuan Li, Tiankai Yang, Jiate Li, Jesse Thomason, Xuezhe Ma, Yue Zhao
2026-10-08
Self-Retrospection Distillation: Turning Post-hoc Experiences into Prior Foresight
Haoxiang Zhang, Qinglin Chen, Hiroaki Hayashi, Zhuofeng Li, Siming Zhang, Jiaxin Zhang, Jixuan Chen, Fang Wu, Pan Lu, Silvio Savarese, Julian McAuley, Chien-Sheng Wu
2026-10-08
How to post-train on a surrogate: Envelope sampling mitigates reward hacking
Sanjit Dandapanthula, Shuvom Sadhuka, Samir Khan, Michael Oberst, Aaditya Ramdas, Alexandra Chouldechova
2026-10-08
Why On-Policy Distillation Sometimes Fails: Vanishing Learning Signals
Lei Zhao, Qichao Zhao, Bowen Zuo, Qishi Zhan
2026-10-08
Blackbox Performance Analysis of LLM-based Network Control
Mahdi Alizadeh, Pooria Namyar, Arvin Ghavidel, Ramesh Govindan
2026-10-20

language

Language2Drive: Do Vision-Language-Action Models Really Follow the Instructions in Autonomous Driving?
Zihan You, Zehua Fan, Wenqi Lyu, Aoqi Wang, Ni Wang, Yifei Yang, Linge Zhao, Huan Li, Sining Ang, Yuguang Yang, Jueyu Chen, Xiangyu Li, Qianshan Wei, Jieyuan Pei, Yuxin Wang, Zhiwen Chen, Jiaqi Li, Wenxuan Song, Yanyuan Qiao, Benjin Zhu, Haoang Li, Yan Wang
2026-10-12
GenState-AI: State-Aware Dataset for Text-to-Video Retrieval on AI-Generated Videos
Minghan Li, Tongna Chen, Tianrui Lv, Yishuai Zhang, Suchao An, Guodong Zhou
2026-10-14
Less is More: Efficient Black-box Attribution via Minimal Interpretable Subset Selection
Ruoyu Chen, Siyuan Liang, Jingzhi Li, Shiming Liu, Li Liu, Hua Zhang, Xiaochun Cao
2026-10-15
BabelFake: A Multilingual Audio-Visual DeepFake Benchmark
Carlotta Segna, Joel Tschesche, Anna Rohrbach
2026-10-08
Documenting Trofinetide Treatment Phenotypes in Rett Syndrome with a Dual-LLM Consensus Pipeline
Daniel Palacios, Guantong Qi, Mikael Guzman Karlsson, Shawntel K. David, Mohammed Sameeruddin, Bernhard Suter, Zhandong Liu, Davut Pehlivan, Hu Chen
2026-10-15
SWEAR: Section-Wise Efficient Audio Reasoning via Self-Rated Difficulty
Yixuan Li, Minghao Lv, Xuenan Xu, Zihao Zheng, Mengyue Wu
2026-10-09
LMSpell: Spell Correction with Pre-Trained Language Models
Akesh Gunathilake, Nadil Karunarathna, Tharusha Bandaranayake, Nisansa de Silva, Surangika Ranathunga, Nevidu Jayatilleke
2026-10-08
Coupled Harness--Model Evolution for Scientific Equation Discovery
Pengze Li, Jiaquan Zhang, Encheng Su, Yunbo Long, Zihang Zeng, Xinping Liu, Han Zhang, Junchi Yu, Shixiang Tang, Aoran Wang, Xi Chen
2026-10-13
Know-Thy-Not: Training-Free Targeted Negation in Dual-Encoder Vision-Language Models
DoYoung Kim, Changkyu Choi, Adín Ramírez Rivera, YunSeok Choi, Jee-Hyong Lee
2026-10-12
Sri Lanka Document Datasets: A Large-Scale, Multilingual Resource for Law, News, and Policy
Nuwan I. Senaratna
2026-10-12
CREATE: Creativity Evaluation of VLMs using the Visual Remote Associates Test
Ziqing Yang, Anubhav Jangra, Smaranda Muresan
2026-10-13
Representational Similarity Alignment of Figurative Language in Humans and Large Language Models
Samhita Bollepally, Aurora Sloman-Moll, Takashi Yamauchi, Neeka Motamedrasa
2026-10-11
A Few More Tokens Ahead: Reinforcing Parallelism in Diffusion LLMs
Jiahao Kuang, Yangfan Gao, Tao Gui, Yuanbin Wu, Qi Zhang, Xuanjing Huang, Tao Ji
2026-10-13
Position: Hippocampal Explicit Memory Is the Cornerstone for AGI
Sangjun Park
2026-10-14
Typed Decision Models on Tabular Data
Baowen Zhang, Hangting Ye, Hongyuan Zha
2026-10-14
Virtual Encoders in Multimodal Transformers
Katsuya Ogata, Yuta Nakashima
2026-10-19
Simulating Training Spikes of Deep Neural Networks by Layer-wise Random Feature Models
Ran Tian, Courtney Paquette
2026-10-09
Structural and Representational Agency in LLM-Driven Timbre Generation and Interpolation
Joseph Cameron, Alan Blackwell
2026-10-08
Multilingual Reasoning Cascades Need More Context
Arnav Mazumder, Dengjia Zhang, Shuyue Stella Li, Yulia Tsvetkov, Niyati Bafna
2026-10-19
Genesis Steering: Better Activation Steering Through Training Data
Tora Bodin, Eric Aubinais, Ilaria Torre, Chih-Hong Cheng
2026-10-13
ExecVLA: Following Fine-Grained Execution Constraints in Vision-Language-Action Models with Bi-Level Action Representation
Gaoge Han, Zhengqing Gao, Ziwen Li, Jiaxin Huang, Shaoli Huang, Fakhri Karray, Mingming Gong, Tongliang Liu
2026-10-08
A 3D Characterization Framework for Intelligent Sequential Decision Making
Sadig Gojayev, Carolina Fortuna
2026-10-08
Structured Sentiment Analysis Using Sequence Labeling as Dependency Graph Parsing
Muhammad Imran, Ana Ezquerro, Carlos Gómez-Rodríguez, Anders Søgaard, David Vilares
2026-10-08
TRACE: Diagnosing Verifier Brittleness in Agentic Evaluation
Radhika Gaonkar
2026-10-08
VESSI - VLM-Enhanced Support for Surveillance and Investigations
Saverio Cavasin, Pietro Tedeschi, Mattia Tamiazzo, Alessandro Brighente, Simone Milani, Mauro Conti
2026-10-08
Uncertainty-Aware Budget Allocation for Adaptive Test-Time Reasoning
Manh Nguyen, Sunil Gupta, Hung Le
2026-10-08
GRASP: Geometry-aware Residual Alignment for Scalable Pretraining Data Attribution
Yue Min, Ruining Chen, Yujun Li
2026-10-08
Beyond Fixed Benchmarks and Worst-Case Attacks: Dynamic Boundary Evaluation for Language Models
Haoxiang Wang, Da Yu, Huishuai Zhang
2026-10-08
Evidence-Traceable Dynamic Interviewer Architecture for Expertise-Adaptive Qualitative Interviews Using Local LLMs
Aisvarya Adeseye, Jouni Isoaho, Adeyemi Adeseye, Seppo Virtanen, Mohammad Tahir
2026-10-08
Auditing VLM Benchmarks from Existing Evaluation Runs
Denis Degtiarev, Anna Gromova, Sergey Katkov, Artem Mikhailin, Safina Mukhamedshina, Albert Nasybullin, Karina Shaikhutdinova, Artem Tuzov
2026-10-09