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Hot Papers

When Does Experience Memory Help Closed-Loop LLM Driving Agents? A Controlled Evaluation with Resampled Warmup Pools, Token-Matched Fillers, and Audited Baselines
Yingxin Jia, Xuanyi Li
2026-10-20
'Your AI Text is not Mine': Redefining and Evaluating AI-generated Text Detection under Realistic Assumptions
Nils Dycke, Marina Sakharova, Nico Daheim, Iryna Gurevych
2026-10-19
When Can LLM Reasoning Reliably Reuse Intermediate Results?
Deyuan Liu, Zecheng Wang, Xuanyi Liu, Jungang Li, Yihao Hu, Mingjie Tang, Bryan Dai, Jie Fu
2026-10-20
Token-Set Choice Confounds POPE: A Systematic Audit of Yes/No Extraction in VLM Hallucination Evaluation
Kesav Kumar Jayakumar, Karthigeyan Thilak
2026-10-20
How the Classical Baseline Shapes Machine-Learning Speed Claims in Topology Optimization
Shaoliang Yang, Jun Wang
2026-10-17
Query-Dependent Reading for Quantized Inner-Product Estimation: A Minimax Separation
Krishnakumar Balasubramanian, Siddharth Bhandari, Shiva Prasad Kasiviswanathan
2026-10-17
Measuring Data Diversity with Embeddings: A Taxonomy and Benchmark for Diversity Measures
Cantao Su, Anna Wegmann, Esther Ploeger, Dong Nguyen
2026-10-17
Goal Images Are Control Targets: Spatially-Grounded Goal-Image Synthesis for Robotic Manipulation
Riddhi Chatterjee, Ritish Shrirao, Kushagra Mehrotra, Viswanath Gopalakrishnan
2026-10-17
Sample-Efficient Reinforcement Learning with General Utilities via Neural Dual Critics
Ankur Naskar, Vaneet Aggarwal
2026-10-17
NLP Meets the World: Toward Improving Conversations With News Media About Natural Language Processing Research
Shomir Wilson
2026-10-17
Arbitrary-Scale Anisotropic 3D MRI Super-Resolution with Gaussian Prototypes
Aditya Rastogi, Ramon Leiser, Prateek Singh, Martha Foltyn-Dumitru, Martin Bendszus, Fabian Bamberg, Klaus Maier-Hein, Kai Schlamp, Alexander Radbruch, Gianluca Brugnara, Philipp Vollmuth
2026-10-17
The Dichotomy Between Pattern Recognition and Step-by-Step Reasoning
Amrut Nadgir, Vijay Balasubramanian, Pratik Chaudhari
2026-10-17
LLM-Based Evaluation Planning for Heterogeneous Optimization
Nian Ran, Sebastian Brulin, Markus Olhofer, Mauricio A. Álvarez, Richard Allmendinger
2026-10-17
Learning to Program Retrievals: Composing Search Primitives via Reinforcement Learning
Kyuyoung Kim, Zilin Xiao, Zhiyuan Wang, Avinash Atreya, Ke Yang, Jinwoo Shin, Kecheng Hao
2026-10-17
MisleadQA: Diagnosing LLM Failures under Misleading Context
Hui Wang, Bohao Chu, Qianli Wang, Shuning Zhang, Norbert Fuhr
2026-10-17
An Impossibility Result for ETF Target Geometry, and an Equinorm Remedy for Imbalanced Analytic Continual Learning
Berk Sezer
2026-10-17
PCHMR: Empowering and Benchmarking Human Mesh Recovery in Privacy-Constrained Real-World Settings
Zeyu Cao, Qingxuan Wu, Zhiyang Dou, Rui Xu, Yuan Liu, Javier Fernandez-Marques, Nicholas D. Lane, Taku Komura, Wenping Wang
2026-10-17
A Statistical Viewpoint on Adam, Shampoo and Muon
Tetiana Parshakova, Robert M. Gower, Paulo Orenstein
2026-10-17
Quantifying Memorization and Privacy Risks in Genomic Language Models
Alexander Nemecek, Wenbiao Li, Xiaoqian Jiang, Jaideep Vaidya, Erman Ayday
2026-10-17
Pattern-Driven Evaluation of LLM Code Optimization: Isolating Compiler-Transcendent Semantic Reasoning
Wesley Lu, Runzhou Liu, Hongru Du, Xinyao Yi
2026-10-17
Topic-Based Watermarks for Large Language Models
Alexander Nemecek, Yuzhou Jiang, Erman Ayday
2026-10-17
First-Order LoRA Training with Phone NPUs
Xu Zheng, Wei Cheng, Zhuomin Chen, Dongkuan Xu, Mo Sha, Jingchao Ni, Dongsheng Luo
2026-10-17
When Does Cheap Physics Help? Gated Multi-Fidelity Physics-Informed Networks with Provable Sample Savings and Conformal Guarantees
laf Yunus Laitinen Imanov, Rana Irem Turhan, Isgandar Jafarli
2026-10-17
BridgeCast: Bridging Ocean Wave Forecasts to Reanalysis via Flow Matching with Exogenous Variables
Siyu Gan, Dongsheng Luo, Kunxiaojia Yuan, Dongjin Song, Jingchao Ni
2026-10-17
Stride Independent Patching for Deep Learning
Olivier Rukundo
2026-10-17
The Causal Description Gap: Information-Theoretic Separations Across Pearl's Hierarchy
Seyed Morteza Emadi
2026-10-17
Medical Fine-Tuning Reshapes, Not Reduces, Patient-Facing AI Risk: A Rubric-Based, LLM-Judge Evaluation Framework
Savan Doshi
2026-10-17
Chiplet-Based RISC-V SoC with Modular AI Acceleration
Suhas Suresh Bharadwaj*, Prerana Ramkumar*
2026-10-17
The edge-based contiguous p-median problem: exact formulations and strengthening inequalities
Zeyad Kassem, Behnam Jabbari-Marand, Adolfo R. Escobedo
2026-10-17
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

Fresh Papers

Elucidating the Design Space of LM Data Attribution
Steven Yu, Sheng-Yu Wang, Kimia Hamidieh, Antonio Torralba, David Bau
2026-10-29
Micro-Edits: Computational Support for Fine-Scale Edits in Film
Nhan Tran, Hijung Valentina Shin, Abe Davis, Mackenzie Leake
2026-10-29
Propose-Filter-Release: Scaling Noise to Typical Sensitivity via Private Filtering
Moshe Shenfeld, Eliad Tsfadia, Katrina Ligett
2026-10-29
Rethinking Neural Thickets Without Weight Perturbations
Nicolas Dufour, Elouan Gardès, Amil Dravid, Patrick Pérez, Loic Landrieu
2026-10-29
Read, Allocate, Route: Role-Coupled Tokenization for Pixel-Space Generative Transformers
Jiongfan Yang, Weichen Fan, Haiwen Diao, Zhongang Cai, Ziwei Liu
2026-10-29
Adaptive Scenario Generation for KL-DRO Around a Learned Density Model
Aron Brenner, Saurabh Amin
2026-10-29
Luggage re-identification: A study of strategies towards a real-world application
Quentin Dhôte, Romaric Audigier
2026-10-29
From extreme weather to agricultural consequences with agentic AI
Minghan Yu, Mengyu Dai, Yixin Wen, Haizhao Yang
2026-10-29
SonoWorld4D: From One Video to a 4D Audio-Visual Scene via Diffusion Synchronization
Derong Jin, Xiyi Chen, Ming C. Lin, Ruohan Gao
2026-10-29
world2vec: Mechanistic world models through latent dynamics learning
Tobias Schmidt, Rodrigo Gonzalez Laiz, Krisztián Szuppinger, Steffen Schneider
2026-10-29
Probing Human-Machine Perceptual Alignment with Semantically Ambiguous Images
Yuqi Hu, Vasha DuTell, Ahna R. Girshick, Jennifer E. Corbett
2026-10-29
Probing Spatial State Representations in Visual Foundation Models
Baiqiao Yin, Zhongang Cai, Ruisi Wang, Qiwei Liang, Lei Yang, Ziwei Liu
2026-10-29
SymAnt: Grounding Long-Horizon Action Anticipation with Adaptable Symbolic Priors
Fnu Aryan, Yaqi Xie, Joseph Campbell, Woojun Kim, Kwonjoon Lee, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Katia Sycara, Simon Stepputtis
2026-10-29
ShallowDefend: Harnessing Shallow Safety Alignment for Multi-Turn Defender
Qiyao Ma, Xiaodong Liu, Weiwei Yang, Mingqian Feng, Chengquan Guo, Jialin Song, Carolyn Buractaon, Zhe Zhao, Junshan Zhang, Sandeep Atluri, Christopher White, Jianfeng Gao
2026-10-29
Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training
Michal Chudoba, Sergey Alyaev, Petra Galuscakova, Tomasz Wiktorski
2026-10-29
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
Differentially Private Covariate Balancing Causal Inference
Yuki Ohnishi, Jordan Awan
2026-10-29
Testimony from Timelines: Evidence-Grounded Significance Testing of Temporal Clinical Hypotheses
Chengyang He, Wenlong Zhang, Koduvayur Subbalakshmi, Ping Wang
2026-10-29
An ODE-based Sampler for Discrete Diffusion Models
Samson Gourevitch, Yazid Janati, Eric Moulines, Eric P. Xing, Alain Durmus, Giacomo Zanella
2026-10-29
Frankly Speaking: The Company Election Integrity Keeps in Congressional Communication
Michael A. Robinette, Christina Barsky, Amanda D. Clark, Helen Flannery, Juniper Lovato
2026-10-29
Difficulty Calibration Across Time for Membership Inference in Diffusion Models
Michael Joseph, Yedid Hoshen
2026-10-29
L3G-World: Real-Time Infinite World Generation with Latent 3D Gaussian Memory
Jinhyeok Choi, JoungBin Lee, Jongmin Lee, Minkyeong Jeon, Jiyoung Kim, Kaeun Han, Yoonjin Yoon, Seungryong Kim
2026-10-29
TextSeal2: Distortion-Free LLM Watermarking with Copula Mixing and Memoryless Races
Tom Sander, Pierre Fernandez, Itai Gat, Haiming Bao, Jiaxin Shi, Jason Park, Valeriu Lacatusu, Sylvestre-Alvise Rebuffi, Hongyan Chang, Hady Elsahar, Tomáš Souček, Tuan Tran, Surya Parimi, Alexandre Mourachko
2026-10-29
When to Assist and What to Suggest: Joint Gating and Memory-Grounded Hint Generation in One Compact Decoder
A. J. A. Jubayer Talukder, Mohammad Ariful Haque
2026-10-29
Fight World Model: Customizable Combat through Visual Interaction Proxies
Jiahua Li, Zixu John, Tom Zhong, Fuping Wu, Tianhao Xu, Ruicheng Zhang, Jun Zhou, Zunnan Xu
2026-10-29
HairDeck: Animation-Ready Stylized Hair Cards from a Single Image
Yuze He, Yixiang Wei, Wang Zhao, Chuhao Chen, Yanning Zhou, Yong-Jin Liu
2026-10-29
Collaborative AI agents for autonomous experimental research with solid-state quantum spins
El Mustapha Mansouri, Eikichi Kimura, Masato Koga, Keigo Arai
2026-10-29
Pre-Crime for Agents, at the Last Second: Probing When a Recruited Agent Gives In
Leonidas Raghav
2026-10-29
Beyond Ground Truth: A Heuristic Unsupervised Quality Assurance Engine for Diagnosing Calibrational Blindness in Dental Segmentation
Fatematuj Johura Mim
2026-10-29
Multistatic ISAC with Deep Learning-Based Clutter Suppression for 5G and Beyond
Yalin E. Sagduyu, Tugba Erpek, Sastry Kompella
2026-10-29

reinforcement learning

Reinforcement learning on the EPRI AI-ccelerating Unit Commitment benchmark: diagnosing over-commitment and guiding MILP with learned policies
Maharani Devira Pramita, Aidan O'Sullivan
2026-10-18
Sample-Efficient Reinforcement Learning with General Utilities via Neural Dual Critics
Ankur Naskar, Vaneet Aggarwal
2026-10-17
Hierarchical Multilevel Monte Carlo for Order-Optimal Neural Actor-Critic in Average-Reward CMDPs
Ankur Naskar, Vaneet Aggarwal
2026-10-17
Learning to Program Retrievals: Composing Search Primitives via Reinforcement Learning
Kyuyoung Kim, Zilin Xiao, Zhiyuan Wang, Avinash Atreya, Ke Yang, Jinwoo Shin, Kecheng Hao
2026-10-17
Co-adaptive Rule Routing and Constraining for Structured Knowledge Retrieval
Zhisheng Qi, Haoyu Han, Jiaxi Li, Bing He, Huiyuan Chen, Franck Dernoncourt, Ryan A. Rossi, Mahantesh M. Halappanavar, Jin Lu, Yu Zhang, Tianming Liu, Yu Wang
2026-10-17
Enhancing Speech Large Language Models through Reinforced Behavior Alignment
Yansong Liu, Yuan Liu
2026-10-17
IndusAgent: Agentic Reinforcement Learning for Cross-Category Industrial Anomaly Detection
Rongbin Tan*, Fangfang Lin*, Jinguo Luo*, Min Qiu, Kejin Cui, Mengmeng Wang, Yi Wang, Jiyuan Wang, Yue Wang, Zhenlong Yuan‡, Shuhan Song§, Huawei Cao
2026-10-17
From Views to Worlds: Active Exploration over 3D Worlds for Vision-Language Models
Qijian Tian, Jiayu Ying, Ke Fan, Lizhuang Ma, Xin Tan
2026-10-17
What RL Brings to Reasoning: A Few Decisions the Base Model Would Not Make
Siyu Zhang, Yuquan Lu, Yoshua Y. Li, Yifan Ding, Kun Zeng, Yu Huo, Yifu Guo, Rongxiang Weng, Xunliang Cai, Xiaoying Tang
2026-10-17
Local Conflict, Targeted Repair: A Perturbation Analysis of Multi-Domain RL
Lei Yang, Siyu Ding, Deyi Xiong
2026-10-17
Thinking Seeds: Restarting On-Policy RL from the Model's Own Past Reasoning States
Lei Yang, Wei Bi, Chenxi Sun, Renren Jin, Deyi Xiong
2026-10-17
Calibration-risk routing for controlled world-model adaptation
Yifan Zhang, Liang Zheng, Qifan Zhang
2026-10-17
Arithmetic Actor Heads and Training Stabilization for Out-of-Distribution Reinforcement Learning
Yifan Zhang, Liang Zheng, Qifan Zhang
2026-10-17
Completion-Aware Cross-Fidelity Offline-to-Online Reinforcement Learning for Multi-Line Bus Holding
Yifan Zhang, Qifan Zhang, Liang Zheng
2026-10-17
BAPR: Bayesian amnesic piecewise-robust reinforcement learning for non-stationary continuous control
Yifan Zhang, Liang Zheng, Qifan Zhang
2026-10-17
Taming CoT Obfuscation in VLMs: From Mechanistic Evidence to Activation-Level Enforcement
Xutao Mao, Jianing Zhu, Jinman Zhao, Tongliang Liu, Xiaowen Chu, Cong Wang, Bo Han
2026-10-17
RE-SAC: Disentangling aleatoric and epistemic risks in bus fleet control: A stable and robust ensemble DRL approach
Yifan Zhang, Liang Zheng, Qifan Zhang
2026-10-17
Reasoning for Hierarchical Text Classification: The Case of Patents
Lekang Jiang, Wenjun Sun, Stephan Goetz
2026-10-17
Axiomatic World Modeling for Physics Reasoning
Xinye Yang, Zhenyang Liu, Yuxuan Wang, Yuanyuan Lei
2026-10-17
ProbePO: Sparse Probes, Redistributed Credit for Critic-Free LLM Reinforcement Learning
Diyi Hu, Ruizhong Qiu, Lin Qiu, Hanghang Tong, Hanqing Zeng
2026-10-17
Forager: a lightweight testbed for continual learning with partial observability in RL
Steven Tang, Xinze Xiong, Anna Hakhverdyan, Andrew Patterson, Jacob Adkins, Jiamin He, Esraa Elelimy, Parham Mohammad Panahi, Martha White, Adam White
2026-10-17
Requests of a Feather Must Flock Together: Batch Size vs. Prefix Homogeneity in LLM Inference
Saksham Rathi, Preeti, Mythili Vutukuru
2026-10-17
Measuring Empowerment from Offline Data for Intrinsically Motivated Exploration
Ishir Garg, Vivek Myers, Qiyang Li, Catherine Ji, Benjamin Eysenbach, Sergey Levine
2026-10-17
Democratizing Tool Learning with Environments Fully Simulated by a Free 8B Language Model
Chenming Tang, Hsiu-Yuan Huang, Weijie Liu, Junqiang Zheng, Saiyong Yang, Yunfang Wu
2026-10-17
Reinforcement Learning for Individual Optimal Policy from Heterogeneous Data
Rui Miao, Babak Shahbaba, Annie Qu
2026-10-17
ULTRA: Unified Multimodal Control for Autonomous Humanoid Whole-Body Loco-Manipulation
Xialin He, Sirui Xu, Xinyao Li, Runpei Dong, Liuyu Bian, Yu-Xiong Wang, Liang-Yan Gui
2026-10-17
Diagnosing Faults in Reinforcement Learning Simulators with Canonical Polynomial Invariants
Tesfay Zemuy Gebrekidan, Hadush Hailu Gebrerufael
2026-10-17
Blackbox Performance Analysis of LLM-based Network Control
Mahdi Alizadeh, Pooria Namyar, Arvin Ghavidel, Ramesh Govindan
2026-10-17
ClueFlow: Learning Long-Horizon Search through Attributed Research-State Transitions
Yicheng Wang, Wentao Tan, Yidan Huang, Yifei Liu, Qiong Cao
2026-10-19
Blackbox Performance Analysis of LLM-based Network Control
Mahdi Alizadeh, Pooria Namyar, Arvin Ghavidel, Ramesh Govindan
2026-10-20

language

Atom as an Agent: Emergent Order by Collective Predictive Coding
Koji Hashimoto, Tadahiro Taniguchi
2026-10-27
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han, Nathaniel Li, Josephina Hu, Hugh Zhang, Chen Bo Calvin Zhang, Mohamed Shaaban, John Ling, Sean Shi, Michael Choi, Anish Agrawal, Arnav Chopra, Adam Khoja, Ryan Kim, Richard Ren, Jason Hausenloy, Oliver Zhang, Mantas Mazeika, Dmitry Dodonov, Tung Nguyen, Jaeho Lee, Daron Anderson, Mikhail Doroshenko, Alun Cennyth Stokes, Mobeen Mahmood, Oleksandr Pokutnyi, Oleg Iskra, Jessica P. Wang, John-Clark Levin, Mstyslav Kazakov, Fiona Feng, Steven Y. Feng, Haoran Zhao, Michael Yu, Varun Gangal, Chelsea Zou, Zihan Wang, Serguei Popov, Robert Gerbicz, Geoff Galgon, Johannes Schmitt, Will Yeadon, Yongki Lee, Scott Sauers, Alvaro Sanchez, Fabian Giska, Marc Roth, Søren Riis, Saiteja Utpala, Noah Burns, Gashaw M. Goshu, Mohinder Maheshbhai Naiya, Chidozie Agu, Zachary G
2026-10-19
MisleadQA: Diagnosing LLM Failures under Misleading Context
Hui Wang, Bohao Chu, Qianli Wang, Shuning Zhang, Norbert Fuhr
2026-10-17
Autonomous intelligence for mining productivity: a multi-agent AI approach to operational value creation
N Guerin, A Dehoux, M Nakhla
2026-10-19
Divergence based Ranked Preference Alignment for LLMs
Rajdeep Haldar, Yue Xing, Qifan Song
2026-10-18
When Can LLM Reasoning Reliably Reuse Intermediate Results?
Deyuan Liu, Zecheng Wang, Xuanyi Liu, Jungang Li, Yihao Hu, Mingjie Tang, Bryan Dai, Jie Fu
2026-10-20
How the Classical Baseline Shapes Machine-Learning Speed Claims in Topology Optimization
Shaoliang Yang, Jun Wang
2026-10-17
Goal Images Are Control Targets: Spatially-Grounded Goal-Image Synthesis for Robotic Manipulation
Riddhi Chatterjee, Ritish Shrirao, Kushagra Mehrotra, Viswanath Gopalakrishnan
2026-10-17
NLP Meets the World: Toward Improving Conversations With News Media About Natural Language Processing Research
Shomir Wilson
2026-10-17
Bellman Language Models: Solving the Recurring Decisions of LLM Agents
Adarsh Vatsa, William Eiers
2026-10-17
The Feasibility of Topic-Based Watermarking on Academic Peer Reviews
Alexander Nemecek, Yuzhou Jiang, Erman Ayday
2026-10-17
The Dichotomy Between Pattern Recognition and Step-by-Step Reasoning
Amrut Nadgir, Vijay Balasubramanian, Pratik Chaudhari
2026-10-17
LLM-Based Evaluation Planning for Heterogeneous Optimization
Nian Ran, Sebastian Brulin, Markus Olhofer, Mauricio A. Álvarez, Richard Allmendinger
2026-10-17
Learning to Program Retrievals: Composing Search Primitives via Reinforcement Learning
Kyuyoung Kim, Zilin Xiao, Zhiyuan Wang, Avinash Atreya, Ke Yang, Jinwoo Shin, Kecheng Hao
2026-10-17
Mobius Injection: From One-Shot Prompt Injection to Sustained Resource Exhaustion in AI Agent Infrastructure
Zi Liang, Ronghua Li, Yanyun Wang, Qingqing Ye, Haibo Hu
2026-10-19
Quantifying Memorization and Privacy Risks in Genomic Language Models
Alexander Nemecek, Wenbiao Li, Xiaoqian Jiang, Jaideep Vaidya, Erman Ayday
2026-10-17
Pattern-Driven Evaluation of LLM Code Optimization: Isolating Compiler-Transcendent Semantic Reasoning
Wesley Lu, Runzhou Liu, Hongru Du, Xinyao Yi
2026-10-17
Pair-Aware Optimization: Coordinating Exploration and Refinement for Jailbreaking LLM Agents
Juanyang Xu, Zheng Wang, Xingyu Zhao, Siddartha Khastgir, Andi Zhang
2026-10-17
Debias It Yourself: Teaching LLMs Cognitive Bias Mitigation Interventions
Chahat Raj, Sina Mansouri, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu
2026-10-17
Efficiency Measured in English: Tokeniser Coverage Bounds Small Language Models on Indic Scripts
Anna Pramod
2026-10-17
Topic-Based Watermarks for Large Language Models
Alexander Nemecek, Yuzhou Jiang, Erman Ayday
2026-10-17
First-Order LoRA Training with Phone NPUs
Xu Zheng, Wei Cheng, Zhuomin Chen, Dongkuan Xu, Mo Sha, Jingchao Ni, Dongsheng Luo
2026-10-17
Ask, Don't Guess: Targeted Clarification for Speech Recognition Errors
Sankalp Parashar, Preethi Jyothi, Sunita Sarawagi
2026-10-17
Medical Fine-Tuning Reshapes, Not Reduces, Patient-Facing AI Risk: A Rubric-Based, LLM-Judge Evaluation Framework
Savan Doshi
2026-10-17
Table Serialization Determines Which Relations Language Models Preserve
Junwei Ma, Arun Kumar Chithanar, Palash Goyal, Chul Lee
2026-10-17
Who Gets Unmasked? Sampler-Induced Bias in Diffusion Language Models
Xujun Che, Farsheed Haque, Depeng Xu, Xi Niu, Haopeng Zhang
2026-10-17
When LLM-Generated Refactorings Ripple: An Empirical Study of Repository Adoption Readiness
Muhammad Waseem, Aakash Ahmad, Pekka Abrahamsson
2026-10-17
Information Theory of Random Composition Trees
Doron Sivan, Weishun Zhong, Tankut Can, Mikhail Katkov, Misha Tsodyks
2026-10-17
Video-Language Entailment for Video Similarity Estimation
Benedetta Liberatori, Lorenzo Vaquero, Elisa Ricci, Paolo Rota
2026-10-17
Multilingual Reasoning Cascades Need More Context
Arnav Mazumder, Dengjia Zhang, Shuyue Stella Li, Yulia Tsvetkov, Niyati Bafna
2026-10-19