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Hot Papers

An Example for Domain Adaptation Using CycleGAN
Yanhua Zhao
2026-02-06
MOVA: Towards Scalable and Synchronized Video-Audio Generation
SII-OpenMOSS Team, :, Donghua Yu, Mingshu Chen, Qi Chen, Qi Luo, Qianyi Wu, Qinyuan Cheng, Ruixiao Li, Tianyi Liang, Wenbo Zhang, Wenming Tu, Xiangyu Peng, Yang Gao, Yanru Huo, Ying Zhu, Yinze Luo, Yiyang Zhang, Yuerong Song, Zhe Xu, Zhiyu Zhang, Chenchen Yang, Cheng Chang, Chushu Zhou, Hanfu Chen, Hongnan Ma, Jiaxi Li, Jingqi Tong, Junxi Liu, Ke Chen, Shimin Li, Shiqi Jiang, Songlin Wang, Wei Jiang, Zhaoye Fei, Zhiyuan Ning, Chunguo Li, Chenhui Li, Ziwei He, Zengfeng Huang, Xie Chen, Xipeng Qiu
2026-02-10
YuriiFormer: A Suite of Nesterov-Accelerated Transformers
Aleksandr Zimin, Yury Polyanskiy, Philippe Rigollet
2026-01-30
DOME: Improving Signal-to-Noise in Stochastic Gradient Descent via Sharp-Direction Subspace Filtering
Julien Nicolas, Mohamed Maouche, Sonia Ben Mokhtar, Mark Coates
2026-02-02
Plug-and-Play Emotion Graphs for Compositional Prompting in Zero-Shot Speech Emotion Recognition
Jiacheng Shi, Hongfei Du, Y. Alicia Hong, Ye Gao
2026-02-03
Improved Bag-of-Words Image Retrieval with Geometric Constraints for Ground Texture Localization
Aaron Wilhelm, Nils Napp
2026-02-04
Algebraic Robustness Verification of Neural Networks
Yulia Alexandr, Hao Duan, Guido Montúfar
2026-02-05
Risk-Sensitive Exponential Actor Critic
Alonso Granados, Jason Pacheco
2026-02-06
From Similarity to Vulnerability: Key Collision Attack on LLM Semantic Caching
Zhixiang Zhang, Zesen Liu, Yuchong Xie, Quanfeng Huang, Dongdong She
2026-01-30
Quasiparticle Interference Kernel Extraction with Variational Autoencoders via Latent Alignment
Yingshuai Ji, Haomin Zhuang, Matthew Toole, James McKenzie, Xiaolong Liu, Xiangliang Zhang
2026-01-30
PowerGenie: Analytically-Guided Evolutionary Discovery of Superior Reconfigurable Power Converters
Jian Gao, Yiwei Zou, Abhishek Pradhan, Wenhao Huang, Yumin Su, Kaiyuan Yang, Xuan Zhang
2026-01-30
Chain-of-thought obfuscation learned from output supervision can generalise to unseen tasks
Nathaniel Mitrani Hadida, Sassan Bhanji, Cameron Tice, Puria Radmard
2026-01-30
The effect of priors on Learning with Restricted Boltzmann Machines
Gianluca Manzan, Daniele Tantari
2026-01-30
EAG-PT: Emission-Aware Gaussians and Path Tracing for Indoor Scene Reconstruction and Editing
Xijie Yang, Mulin Yu, Changjian Jiang, Kerui Ren, Tao Lu, Jiangmiao Pang, Dahua Lin, Bo Dai, Linning Xu
2026-01-30
HierLoc: Hyperbolic Entity Embeddings for Hierarchical Visual Geolocation
Hari Krishna Gadi, Daniel Matos, Hongyi Luo, Lu Liu, Yongliang Wang, Yanfeng Zhang, Liqiu Meng
2026-01-30
On the Impact of Code Comments for Automated Bug-Fixing: An Empirical Study
Antonio Vitale, Emanuela Guglielmi, Simone Scalabrino, Rocco Oliveto
2026-01-30
From Absolute to Relative: Rethinking Reward Shaping in Group-Based Reinforcement Learning
Wenzhe Niu, Wei He, Zongxia Xie, Jinpeng Ou, Huichuan Fan, Yuchen Ge, Yanru Sun, Ziyin Wang, Yizhao Sun, Chengshun Shi, Jiuchong Gao, Jinghua Hao, Renqing He
2026-01-30
AI for Scientific Discovery is a Social Problem
Georgia Channing, Avijit Ghosh
2026-01-30
From Abstract to Contextual: What LLMs Still Cannot Do in Mathematics
Bowen Cao, Dongdong Zhang, Yixia Li, Junpeng Liu, Shijue Huang, Chufan Shi, Hongyuan Lu, Yaokang Wu, Guanhua Chen, Wai Lam, Furu Wei
2026-01-30
The Hot Mess of AI: How Does Misalignment Scale With Model Intelligence and Task Complexity?
Alexander Hägele, Aryo Pradipta Gema, Henry Sleight, Ethan Perez, Jascha Sohl-Dickstein
2026-01-30
Ravan: Multi-Head Low-Rank Adaptation for Federated Fine-Tuning
Arian Raje, Baris Askin, Divyansh Jhunjhunwala, Gauri Joshi
2026-01-30
One-shot Optimized Steering Vector for Hallucination Mitigation for VLMs
Youxu Shi, Suorong Yang, Dong Liu
2026-01-30
Avoiding Premature Collapse: Adaptive Annealing for Entropy-Regularized Structural Inference
Yizhi Liu
2026-01-30
Multi-agent Adaptive Mechanism Design
Qiushi Han, David Simchi-Levi, Renfei Tan, Zishuo Zhao
2026-01-30
ChatInject: Abusing Chat Templates for Prompt Injection in LLM Agents
Hwan Chang, Yonghyun Jun, Hwanhee Lee
2026-01-30
Mem-T: Densifying Rewards for Long-Horizon Memory Agents
Yanwei Yue, Guibin Zhang, Boci Peng, Xuanbo Fan, Jiaxin Guo, Qiankun Li, Yan Zhang
2026-01-30
Leveraging Convolutional Sparse Autoencoders for Robust Movement Classification from Low-Density sEMG
Blagoj Hristov, Zoran Hadzi-Velkov, Katerina Hadzi-Velkova Saneva, Gorjan Nadzinski, Vesna Ojleska Latkoska
2026-01-30
Automatic Constraint Policy Optimization based on Continuous Constraint Interpolation Framework for Offline Reinforcement Learning
Xinchen Han, Qiuyang Fang, Hossam Afifi, Michel Marot
2026-01-30
SPEED: Scalable, Precise, and Efficient Concept Erasure for Diffusion Models
Ouxiang Li, Yuan Wang, Xinting Hu, Houcheng Jiang, Yanbin Hao, Fuli Feng
2026-01-30
Autodiscover: A reinforcement learning recommendation system for the cold-start imbalance challenge in active learning, powered by graph-aware thompson sampling
Parsa Vares
2026-02-04

Fresh Papers

SurfPhase: 3D Interfacial Dynamics in Two-Phase Flows from Sparse Videos
Yue Gao, Hong-Xing Yu, Sanghyeon Chang, Qianxi Fu, Bo Zhu, Yoonjin Won, Juan Carlos Niebles, Jiajun Wu
2026-02-11
Diffusion-Pretrained Dense and Contextual Embeddings
Sedigheh Eslami, Maksim Gaiduk, Markus Krimmel, Louis Milliken, Bo Wang, Denis Bykov
2026-02-11
YOR: Your Own Mobile Manipulator for Generalizable Robotics
Manan H Anjaria, Mehmet Enes Erciyes, Vedant Ghatnekar, Neha Navarkar, Haritheja Etukuru, Xiaole Jiang, Kanad Patel, Dhawal Kabra, Nicholas Wojno, Radhika Ajay Prayage, Soumith Chintala, Lerrel Pinto, Nur Muhammad Mahi Shafiullah, Zichen Jeff Cui
2026-02-11
Data Repetition Beats Data Scaling in Long-CoT Supervised Fine-Tuning
Dawid J. Kopiczko, Sagar Vaze, Tijmen Blankevoort, Yuki M. Asano
2026-02-11
Beyond VLM-Based Rewards: Diffusion-Native Latent Reward Modeling
Gongye Liu, Bo Yang, Yida Zhi, Zhizhou Zhong, Lei Ke, Didan Deng, Han Gao, Yongxiang Huang, Kaihao Zhang, Hongbo Fu, Wenhan Luo
2026-02-11
SCRAPL: Scattering Transform with Random Paths for Machine Learning
Christopher Mitcheltree, Vincent Lostanlen, Emmanouil Benetos, Mathieu Lagrange
2026-02-11
GENIUS: Generative Fluid Intelligence Evaluation Suite
Ruichuan An, Sihan Yang, Ziyu Guo, Wei Dai, Zijun Shen, Haodong Li, Renrui Zhang, Xinyu Wei, Guopeng Li, Wenshan Wu, Wentao Zhang
2026-02-11
Data-Efficient Hierarchical Goal-Conditioned Reinforcement Learning via Normalizing Flows
Shaswat Garg, Matin Moezzi, Brandon Da Silva
2026-02-11
LCIP: Loss-Controlled Inverse Projection of High-Dimensional Image Data
Yu Wang, Frederik L. Dennig, Michael Behrisch, Alexandru Telea
2026-02-11
When does Metropolized Hamiltonian Monte Carlo provably outperform Metropolis-adjusted Langevin algorithm?
Yuansi Chen, Khashayar Gatmiry, Minhui Jiang
2026-02-11
AlignTune: Modular Toolkit for Post-Training Alignment of Large Language Models
R E Zera Marveen Lyngkhoi, Chirag Chawla, Pratinav Seth, Utsav Avaiya, Soham Bhattacharjee, Mykola Khandoga, Rui Yuan, Vinay Kumar Sankarapu
2026-02-11
TabICLv2: A better, faster, scalable, and open tabular foundation model
Jingang Qu, David Holzmüller, Gaël Varoquaux, Marine Le Morvan
2026-02-11
MOTGNN: Interpretable Graph Neural Networks for Multi-Omics Disease Classification
Tiantian Yang, Zhiqian Chen
2026-02-11
Weight Decay Improves Language Model Plasticity
Tessa Han, Sebastian Bordt, Hanlin Zhang, Sham Kakade
2026-02-11
Proficient Graph Neural Network Design by Accumulating Knowledge on Large Language Models
Jialiang Wang, Hanmo Liu, Shimin Di, Zhili Wang, Jiachuan Wang, Lei Chen, Xiaofang Zhou
2026-02-11
FormalJudge: A Neuro-Symbolic Paradigm for Agentic Oversight
Jiayi Zhou, Yang Sheng, Hantao Lou, Yaodong Yang, Jie Fu
2026-02-11
Equivariant symmetry-aware head pose estimation for fetal MRI
Ramya Muthukrishnan, Borjan Gagoski, Aryn Lee, P. Ellen Grant, Elfar Adalsteinsson, Polina Golland, Benjamin Billot
2026-02-11
Just on Time: Token-Level Early Stopping for Diffusion Language Models
Zahar Kohut, Severyn Shykula, Dmytro Khamula, Mykola Vysotskyi, Taras Rumezhak, Volodymyr Karpiv
2026-02-11
Expanding the Capabilities of Reinforcement Learning via Text Feedback
Yuda Song, Lili Chen, Fahim Tajwar, Remi Munos, Deepak Pathak, J. Andrew Bagnell, Aarti Singh, Andrea Zanette
2026-02-11
End to End Collaborative Synthetic Data Generation
Sikha Pentyala, Geetha Sitaraman, Trae Claar, Martine De Cock
2026-02-11
MIND: Benchmarking Memory Consistency and Action Control in World Models
Yixuan Ye, Xuanyu Lu, Yuxin Jiang, Yuchao Gu, Rui Zhao, Qiwei Liang, Jiachun Pan, Fengda Zhang, Weijia Wu, Alex Jinpeng Wang
2026-02-11
From Circuits to Dynamics: Understanding and Stabilizing Failure in 3D Diffusion Transformers
Maximilian Plattner, Fabian Paischer, Johannes Brandstetter, Arturs Berzins
2026-02-11
Asymmetric Prompt Weighting for Reinforcement Learning with Verifiable Rewards
Reinhard Heckel, Mahdi Soltanolkotabi, Christos Thramboulidis
2026-02-11
The Offline-Frontier Shift: Diagnosing Distributional Limits in Generative Multi-Objective Optimization
Stephanie Holly, Alexandru-Ciprian Zăvoianu, Siegfried Silber, Sepp Hochreiter, Werner Zellinger
2026-02-11
PhyCritic: Multimodal Critic Models for Physical AI
Tianyi Xiong, Shihao Wang, Guilin Liu, Yi Dong, Ming Li, Heng Huang, Jan Kautz, Zhiding Yu
2026-02-11
From Natural Language to Materials Discovery:The Materials Knowledge Navigation Agent
Genmao Zhuang, Amir Barati Farimani
2026-02-11
A New Dataset and Performance Benchmark for Real-time Spacecraft Segmentation in Onboard Computers
Jeffrey Joan Sam, Janhavi Sathe, Nikhil Chigali, Naman Gupta, Radhey Ruparel, Yicheng Jiang, Janmajay Singh, James W. Berck, Arko Barman
2026-02-11
Implicit Hypothesis Testing and Divergence Preservation in Neural Network Representations
Kadircan Aksoy, Protim Bhattacharjee, Peter Jung
2026-02-11
A Doubly Robust Machine Learning Approach for Disentangling Treatment Effect Heterogeneity with Functional Outcomes
Filippo Salmaso, Lorenzo Testa, Francesca Chiaromonte
2026-02-11
HairWeaver: Few-Shot Photorealistic Hair Motion Synthesis with Sim-to-Real Guided Video Diffusion
Di Chang, Ji Hou, Aljaz Bozic, Assaf Neuberger, Felix Juefei-Xu, Olivier Maury, Gene Wei-Chin Lin, Tuur Stuyck, Doug Roble, Mohammad Soleymani, Stephane Grabli
2026-02-11

reinforcement learning

Mode-Dependent Rectification for Stable PPO Training
Mohamad Mohamad, Francesco Ponzio, Xavier Descombes
2026-02-05
Risk-Sensitive Exponential Actor Critic
Alonso Granados, Jason Pacheco
2026-02-06
RN-D: Discretized Categorical Actors with Regularized Networks for On-Policy Reinforcement Learning
Yuexin Bian, Jie Feng, Tao Wang, Yijiang Li, Sicun Gao, Yuanyuan Shi
2026-01-30
From Absolute to Relative: Rethinking Reward Shaping in Group-Based Reinforcement Learning
Wenzhe Niu, Wei He, Zongxia Xie, Jinpeng Ou, Huichuan Fan, Yuchen Ge, Yanru Sun, Ziyin Wang, Yizhao Sun, Chengshun Shi, Jiuchong Gao, Jinghua Hao, Renqing He
2026-01-30
Guided by Trajectories: Repairing and Rewarding Tool-Use Trajectories for Tool-Integrated Reasoning
Siyu Gong, Linan Yue, Weibo Gao, Fangzhou Yao, Shimin Di, Lei Feng, Min-Ling Zhang
2026-01-30
Mem-T: Densifying Rewards for Long-Horizon Memory Agents
Yanwei Yue, Guibin Zhang, Boci Peng, Xuanbo Fan, Jiaxin Guo, Qiankun Li, Yan Zhang
2026-01-30
Automatic Constraint Policy Optimization based on Continuous Constraint Interpolation Framework for Offline Reinforcement Learning
Xinchen Han, Qiuyang Fang, Hossam Afifi, Michel Marot
2026-01-30
Surrogate Signals from Format and Length: Reinforcement Learning for Solving Mathematical Problems without Ground Truth Answers
Rihui Xin, Han Liu, Zecheng Wang, Yupeng Zhang, Dianbo Sui, Xiaolin Hu, Bingning Wang
2026-01-30
Which Heads Matter for Reasoning? RL-Guided KV Cache Compression
Wenjie Du, Li Jiang, Keda Tao, Xue Liu, Huan Wang
2026-01-30
Mixed-Precision Training and Compilation for RRAM-based Computing-in-Memory Accelerators
Rebecca Pelke, Joel Klein, Jose Cubero-Cascante, Nils Bosbach, Jan Moritz Joseph, Rainer Leupers
2026-01-30
Golden Goose: A Simple Trick to Synthesize Unlimited RLVR Tasks from Unverifiable Internet Text
Ximing Lu, David Acuna, Jaehun Jung, Jian Hu, Di Zhang, Shizhe Diao, Yunheng Zou, Shaokun Zhang, Brandon Cui, Mingjie Liu, Hyunwoo Kim, Prithviraj Ammanabrolu, Jan Kautz, Yi Dong, Yejin Choi
2026-01-30
SAFER: Probing Safety in Reward Models with Sparse Autoencoder
Wei Shi, Ziyuan Xie, Sihang Li, Xiang Wang
2026-01-30
Agentic reinforcement learning empowers next-generation chemical language models for molecular design and synthesis
Hao Li, He Cao, Shenyao Peng, Zijing Liu, Bin Feng, Yu Wang, Zhiyuan Yan, Yonghong Tian, Yu Li, Li Yuan
2026-01-30
MTDrive: Multi-turn Interactive Reinforcement Learning for Autonomous Driving
Xidong Li, Mingyu Guo, Chenchao Xu, Bailin Li, Wenjing Zhu, Yangang Zou, Rui Chen, Zehuan Wang
2026-01-30
MulFeRL: Enhancing Reinforcement Learning with Verbal Feedback in a Multi-turn Loop
Xuancheng Li, Haitao Li, Yujia Zhou, YiqunLiu, Qingyao Ai
2026-01-30
Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning
Thomas Carta, Clément Romac, Thomas Wolf, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer
2026-01-30
PlatoLTL: Learning to Generalize Across Symbols in LTL Instructions for Multi-Task RL
Jacques Cloete, Mathias Jackermeier, Ioannis Havoutis, Alessandro Abate
2026-01-30
Reinforcement Learning-Based Co-Design and Operation of Chiller and Thermal Energy Storage for Cost-Optimal HVAC Systems
Tanay Raghunandan Srinivasa, Vivek Deulkar, Aviruch Bhatia, Vishal Garg
2026-01-30
Navigate the Unknown: Enhancing LLM Reasoning with Intrinsic Motivation Guided Exploration
Jingtong Gao, Ling Pan, Yejing Wang, Rui Zhong, Chi Lu, Maolin Wang, Qingpeng Cai, Peng Jiang, Xiangyu Zhao
2026-01-30
Degradation-Aware Frequency Regulation of a Heterogeneous Battery Fleet via Reinforcement Learning
Tanay Raghunandan Srinivasa, Vivek Deulkar, Jia Bhargava, Mohammad Hajiesmaili, Prashant Shenoy
2026-01-30
PPO in the Fisher-Rao geometry
Razvan-Andrei Lascu, David Šiška, Łukasz Szpruch
2026-01-30
Thompson Sampling via Fine-Tuning of LLMs
Nicolas Menet, Aleksandar Terzić, Michael Hersche, Andreas Krause, Abbas Rahimi
2026-01-30
TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety Alignment
Zhewen Tan, Wenhan Yu, Jianfeng Si, Tongxin Liu, Kaiqi Guan, Huiyan Jin, Jiawen Tao, Xiaokun Yuan, Duohe Ma, Xiangzheng Zhang, Tong Yang, Lin Sun
2026-01-30
Offline Reinforcement Learning of High-Quality Behaviors Under Robust Style Alignment
Mathieu Petitbois, Rémy Portelas, Sylvain Lamprier
2026-01-30
CVeDRL: An Efficient Code Verifier via Difficulty-aware Reinforcement Learning
Ji Shi, Peiming Guo, Meishan Zhang, Miao Zhang, Xuebo Liu, Min Zhang, Weili Guan
2026-01-30
Clipping-Free Policy Optimization for Large Language Models
Ömer Veysel Çağatan, Barış Akgün, Gözde Gül Şahin, Xuandong Zhao
2026-01-30
Distributional value gradients for stochastic environments
Baptiste Debes, Tinne Tuytelaars
2026-01-30
ASTRA: Automated Synthesis of agentic Trajectories and Reinforcement Arenas
Xiaoyu Tian, Haotian Wang, Shuaiting Chen, Hao Zhou, Kaichi Yu, Yudian Zhang, Jade Ouyang, Junxi Yin, Jiong Chen, Baoyan Guo, Lei Zhang, Junjie Tao, Yuansheng Song, Ming Cui, Chengwei Liu
2026-01-30
Warm Up Before You Train: Unlocking General Reasoning in Resource-Constrained Settings
Safal Shrestha, Minwu Kim, Aadim Nepal, Anubhav Shrestha, Keith Ross
2026-01-30
Autodiscover: A reinforcement learning recommendation system for the cold-start imbalance challenge in active learning, powered by graph-aware thompson sampling
Parsa Vares
2026-02-04

language

AlgoVeri: An Aligned Benchmark for Verified Code Generation on Classical Algorithms
Haoyu Zhao, Ziran Yang, Jiawei Li, Deyuan He, Zenan Li, Chi Jin, Venugopal V. Veeravalli, Aarti Gupta, Sanjeev Arora
2026-02-10
Tokenization Multiplicity Leads to Arbitrary Price Variation in LLM-as-a-service
Ivi Chatzi, Nina Corvelo Benz, Stratis Tsirtsis, Manuel Gomez-Rodriguez
2026-01-30
From Abstract to Contextual: What LLMs Still Cannot Do in Mathematics
Bowen Cao, Dongdong Zhang, Yixia Li, Junpeng Liu, Shijue Huang, Chufan Shi, Hongyuan Lu, Yaokang Wu, Guanhua Chen, Wai Lam, Furu Wei
2026-01-30
CATTO: Balancing Preferences and Confidence in Language Models
Nisarg Parikh, Kunjal Panchal, Ananya Sai, Pannaga Shivaswamy, Andrew Lan
2026-01-30
WiFiPenTester: Advancing Wireless Ethical Hacking with Governed GenAI
Haitham S. Al-Sinani, Chris J. Mitchell
2026-01-30
ARB-LLM: Alternating Refined Binarizations for Large Language Models
Zhiteng Li, Xianglong Yan, Tianao Zhang, Haotong Qin, Dong Xie, Jiang Tian, zhongchao shi, Linghe Kong, Yulun Zhang, Xiaokang Yang
2026-01-30
OrLog: Resolving Complex Queries with LLMs and Probabilistic Reasoning
Mohanna Hoveyda, Jelle Piepenbrock, Arjen P de Vries, Maarten de Rijke, Faegheh Hasibi
2026-01-30
Character as a Latent Variable in Large Language Models: A Mechanistic Account of Emergent Misalignment and Conditional Safety Failures
Yanghao Su, Wenbo Zhou, Tianwei Zhang, Qiu Han, Weiming Zhang, Nenghai Yu, Jie Zhang
2026-01-30
The Narrow Gate: Localized Image-Text Communication in Native Multimodal Models
Alessandro Pietro Serra, Francesco Ortu, Emanuele Panizon, Lucrezia Valeriani, Lorenzo Basile, Alessio Ansuini, Diego Doimo, Alberto Cazzaniga
2026-01-30
ATOD: An Evaluation Framework and Benchmark for Agentic Task-Oriented Dialogue Systems
Yifei Zhang, Hooshang Nayyeri, Rinat Khaziev, Emine Yilmaz, Gokhan Tur, Dilek Hakkani-Tür, Hari Thadakamalla
2026-01-30
Towards Explicit Acoustic Evidence Perception in Audio LLMs for Speech Deepfake Detection
Xiaoxuan Guo, Yuankun Xie, Haonan Cheng, Jiayi Zhou, Jian Liu, Hengyan Huang, Long Ye, Qin Zhang
2026-01-30
On the Impact of Code Comments for Automated Bug-Fixing: An Empirical Study
Antonio Vitale, Emanuela Guglielmi, Simone Scalabrino, Rocco Oliveto
2026-01-30
From Absolute to Relative: Rethinking Reward Shaping in Group-Based Reinforcement Learning
Wenzhe Niu, Wei He, Zongxia Xie, Jinpeng Ou, Huichuan Fan, Yuchen Ge, Yanru Sun, Ziyin Wang, Yizhao Sun, Chengshun Shi, Jiuchong Gao, Jinghua Hao, Renqing He
2026-01-30
Large Language Model Agent for User-friendly Chemical Process Simulations
Jingkang Liang, Niklas Groll, Gürkan Sin
2026-01-30
Uncovering Cross-Objective Interference in Multi-Objective Alignment
Yining Lu, Meng Jiang
2026-02-06
Ravan: Multi-Head Low-Rank Adaptation for Federated Fine-Tuning
Arian Raje, Baris Askin, Divyansh Jhunjhunwala, Gauri Joshi
2026-01-30
One-shot Optimized Steering Vector for Hallucination Mitigation for VLMs
Youxu Shi, Suorong Yang, Dong Liu
2026-01-30
Guided by Trajectories: Repairing and Rewarding Tool-Use Trajectories for Tool-Integrated Reasoning
Siyu Gong, Linan Yue, Weibo Gao, Fangzhou Yao, Shimin Di, Lei Feng, Min-Ling Zhang
2026-01-30
Helios: A Foundational Language Model for Smart Energy Knowledge Reasoning and Application
Haoyu Jiang, Fanjie Zeng, Boan Qu, Xiaojie Lin, Wei Zhong
2026-01-30
DimABSA: Building Multilingual and Multidomain Datasets for Dimensional Aspect-Based Sentiment Analysis
Lung-Hao Lee, Liang-Chih Yu, Natalia Loukashevich, Ilseyar Alimova, Alexander Panchenko, Tzu-Mi Lin, Zhe-Yu Xu, Jian-Yu Zhou, Guangmin Zheng, Jin Wang, Sharanya Awasthi, Jonas Becker, Jan Philip Wahle, Terry Ruas, Shamsuddeen Hassan Muhammad, Saif M. Mohammed
2026-01-30
Diverse, not Short: A Length-Controlled Data Selection Strategy for Improving Response Diversity of Language Models
Vijeta Deshpande, Debasmita Ghose, John D. Patterson, Roger Beaty, Anna Rumshisky
2026-01-30
ChatInject: Abusing Chat Templates for Prompt Injection in LLM Agents
Hwan Chang, Yonghyun Jun, Hwanhee Lee
2026-01-30
Surrogate Signals from Format and Length: Reinforcement Learning for Solving Mathematical Problems without Ground Truth Answers
Rihui Xin, Han Liu, Zecheng Wang, Yupeng Zhang, Dianbo Sui, Xiaolin Hu, Bingning Wang
2026-01-30
InstructDiff: Domain-Adaptive Data Selection via Differential Entropy for Efficient LLM Fine-Tuning
Junyou Su, He Zhu, Xiao Luo, Liyu Zhang, Hong-Yu Zhou, Yun Chen, Peng Li, Yang Liu, Guanhua Chen
2026-01-30
Which Heads Matter for Reasoning? RL-Guided KV Cache Compression
Wenjie Du, Li Jiang, Keda Tao, Xue Liu, Huan Wang
2026-01-30
Learning and extrapolating scale-invariant processes
Anaclara Alvez-Canepa, Cyril Furtlehner, François Landes
2026-01-30
Bias Beyond Borders: Political Ideology Evaluation and Steering in Multilingual LLMs
Afrozah Nadeem, Agrima, Mehwish Nasim, Usman Naseem
2026-01-30
Mano: Restriking Manifold Optimization for LLM Training
Yufei Gu, Zeke Xie
2026-01-30
Video Unlearning via Low-Rank Refusal Vector
Simone Facchiano, Stefano Saravalle, Matteo Migliarini, Edoardo De Matteis, Alessio Sampieri, Andrea Pilzer, Emanuele Rodolà, Indro Spinelli, Luca Franco, Fabio Galasso
2026-01-30
Online Vector Quantized Attention
Nick Alonso, Tomas Figliolia, Beren Millidge
2026-02-03