Ax Luca Collini, Baleegh Ahmad, Joey Ah-kiow, Ramesh Karri 2/25/2026

MARVEL: Multi-Agent RTL Vulnerability Extraction using Large Language Models

Multi-agent system using LLMs to detect vulnerabilities in hardware RTL design specifications.

Ax Chuhao Zhou, Jianfei Yang 2/25/2026

HoloLLM: Multisensory Foundation Model for Language-Grounded Human Sensing and Reasoning

Multimodal LLM combining vision, audio, and sensor data for embodied AI agents in smart homes.

Ax Zhaolu Kang, Junhao Gong, Jiaxu Yan, Wanke Xia, Yian Wang, Ziwen Wang, Huaxuan Ding, Zhuo Cheng, Wenhao Cao, Zhiyuan Feng, Siqi He, Shannan Yan, Junzhe Chen, Xiaomin He, Chaoya Jiang, Wei Ye, Kaidong Yu, Xuelong Li 2/25/2026

HSSBench: Benchmarking Humanities and Social Sciences Ability for Multimodal Large Language Models

Benchmark for evaluating multimodal LLM capabilities in humanities and social sciences requiring interdisciplinary reasoning.

Ax Jingyu Xiao, Man Ho Lam, Ming Wang, Yuxuan Wan, Junliang Liu, Yintong Huo, Michael R. Lyu 2/25/2026

DesignBench: A Comprehensive Benchmark for MLLM-based Front-end Code Generation

Comprehensive benchmark for evaluating multimodal LLMs on front-end code generation from visual designs using modern frameworks.

Ax Jinkwan Jang, Hyungjin Park, Jinmyeong Choi, Taesup Kim 2/25/2026

Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness

Framework addressing dependency, asynchrony, and missing values in multivariate time series forecasting from real-world data.

Ax Shuhe Li, Chenxu Guo, Jiachen Lian, Cheol Jun Cho, Wenshuo Zhao, Xiner Xu, Ruiyu Jin, Xiaoyu Shi, Xuanru Zhou, Dingkun Zhou, Sam Wang, Grace Wang, Jingze Yang, Jingyi Xu, Ruohan Bao, Xingrui Chen, Elise Brenner, Brandon In, Francesca Pei, Maria Luisa Gorno-Tempini, Gopala Anumanchipalli 2/25/2026

K-Function: Joint Pronunciation Transcription and Feedback for Evaluating Kids Language Function

LLM-based framework for evaluating children's language function through phonetic transcription and automated speech assessment.

Ax Saptarshi Mitra, Rachid Karami, Haocheng Xu, Sitao Huang, Hyoukjun Kwon 2/25/2026

Characterizing State Space Model and Hybrid Language Model Performance with Long Context

Characterization and comparison of State Space Models and hybrid architectures versus Transformers for long-context processing on edge devices.

Ax Xuefeng Liu, Mingxuan Cao, Songhao Jiang, Xiao Luo, Xiaotian Duan, Mengdi Wang, Tobin R. Sosnick, Jinbo Xu, Rick Stevens 2/25/2026

Monte Carlo Tree Diffusion with Multiple Experts for Protein Design

Monte Carlo tree diffusion with multiple experts for protein sequence design combining masked diffusion models with tree search.

Ax Haoyu He, Haozheng Luo, Yan Chen, Qi R. Wang 2/25/2026

RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility

Framework using LLMs as spatio-temporal predictors with hierarchical temporal tokenization for human mobility and trajectory prediction.

Ax Jubayer Ibn Hamid, Ifdita Hasan Orney, Ellen Xu, Chelsea Finn, Dorsa Sadigh 2/25/2026

Polychromic Objectives for Reinforcement Learning

Reinforcement learning fine-tuning approach using polychromic objectives to prevent policy collapse and maintain behavioral diversity.

Ax Yuan Zhuang, Yi Shen, Yuexin Bian, Qing Su, Shihao Ji, Yuanyuan Shi, Fei Miao 2/25/2026

LD-MoLE: Learnable Dynamic Routing for Mixture of LoRA Experts

Learnable dynamic routing mechanism for mixture-of-experts with LoRA adapters enabling efficient LLM task adaptation without fixed expert assignment.

Ax Jeongjae Lee, Jong Chul Ye 2/25/2026

PCPO: Proportionate Credit Policy Optimization for Aligning Image Generation Models

Policy optimization method for text-to-image models addressing credit assignment instability in reinforcement learning fine-tuning.

Ax Jianing Guo, Zhenhong Wu, Chang Tu, Yiyao Ma, Xiangqi Kong, Zhiqian Liu, Jiaming Ji, Shuning Zhang, Yuanpei Chen, Kai Chen, Qi Dou, Yaodong Yang, Xianglong Liu, Huijie Zhao, Weifeng Lv, Simin Li 2/25/2026

On Robustness of Vision-Language-Action Model against Multi-Modal Perturbations

Evaluation of Vision-Language-Action model robustness against multi-modal perturbations across 17 adversarial conditions.

Ax Mingdai Yang, Nurendra Choudhary, Jiangshu Du, Edward W. Huang, Philip S. Yu, Karthik Subbian, Danai Koutra 2/25/2026

AgentDR: Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents

LLM-based agent framework for recommendation systems that leverages commonsense reasoning to capture item relationships and user intent.

Ax Shramay Palta, Peter Rankel, Sarah Wiegreffe, Rachel Rudinger 2/25/2026

Everything is Plausible: Investigating the Impact of LLM Rationales on Human Notions of Plausibility

Study on how LLM-generated rationales influence human plausibility judgments in commonsense reasoning tasks using 3,000 human and 13,600 LLM judgments.

Ax Dario Shariatian, Alain Durmus, Umut Simsekli, Stefano Peluchetti 2/25/2026

Latent-Augmented Discrete Diffusion Models

Latent-Augmented Discrete Diffusion model improving fast language generation by modeling cross-token dependencies.

Ax Ren Yin, Takashi Ishida, Masashi Sugiyama 2/25/2026

Towards Scalable Oversight via Partitioned Human Supervision

Method for scalable AI oversight via partitioned human supervision across multiple domain experts for complex multi-domain tasks.

Ax Julia Bazinska, Max Mathys, Francesco Casucci, Mateo Rojas-Carulla, Xander Davies, Alexandra Souly, Niklas Pfister 2/25/2026

Breaking Agent Backbones: Evaluating the Security of Backbone LLMs in AI Agents

Security evaluation framework for LLM backbone models in AI agents, addressing vulnerabilities unique to agent architectures.

Ax Yizhang Zhu, Liangwei Wang, Chenyu Yang, Xiaotian Lin, Boyan Li, Wei Zhou, Xinyu Liu, Zhangyang Peng, Tianqi Luo, Yu Li, Chengliang Chai, Chong Chen, Shimin Di, Ju Fan, Ji Sun, Nan Tang, Fugee Tsung, Jiannan Wang, Chenglin Wu, Yanwei Xu, Shaolei Zhang, Yong Zhang, Xuanhe Zhou, Guoliang Li, Yuyu Luo 2/25/2026

A Survey of Data Agents: Emerging Paradigm or Overstated Hype?

Survey examining terminology, definitions, and taxonomy of data agents—autonomous systems orchestrating data and AI for complex data tasks.

Ax Yida Zhao, Kuan Li, Xixi Wu, Liwen Zhang, Dingchu Zhang, Baixuan Li, Maojia Song, Zhuo Chen, Chenxi Wang, Xinyu Wang, Kewei Tu, Pengjun Xie, Jingren Zhou, Yong Jiang 2/25/2026

Repurposing Synthetic Data for Fine-grained Search Agent Supervision

LLM-based search agents trained on synthetic entity-centric data using improved reward mechanisms to capture informative near-miss samples.

Ax Zheng Du, Hao Kang, Song Han, Tushar Krishna, Ligeng Zhu 2/25/2026

OckBench: Measuring the Efficiency of LLM Reasoning

OckBench: Benchmark measuring LLM reasoning efficiency via token usage, revealing up to 5x differences in token length across models.

Ax Shihan Cheng, Nilesh Kulkarni, David Hyde, Dmitriy Smirnov 2/25/2026

Less is More: Data-Efficient Adaptation for Controllable Text-to-Video Generation

Data-efficient fine-tuning strategy for adding controllable parameters to text-to-video diffusion models using synthetic data.

Ax Iker Garc\'ia-Ferrero, David Montero, Roman Orus 2/25/2026

Refusal Steering: Fine-grained Control over LLM Refusal Behaviour for Sensitive Topics

Refusal Steering: Inference-time method for fine-grained control over LLM refusal behavior on sensitive topics without retraining.

Ax Yunsheng Pang, Zijian Liu, Yudong Li, Shaojie Zhu, Zijian Luo, Chenyun Yu, Sikai Wu, Shichen Shen, Cong Xu, Bin Wang, Kai Jiang, Hongyong Yu, Chengxiang Zhuo, Zang Li 2/25/2026

HiGR: Efficient Generative Slate Recommendation via Hierarchical Planning and Multi-Objective Preference Alignment

HiGR: Generative slate recommendation system using hierarchical planning and multi-objective preference alignment for ranked lists.

Ax Shuhang Chen, Yunqiu Xu, Junjie Xie, Aojun Lu, Tao Feng, Zeying Huang, Ning Zhang, Yi Sun, Yi Yang, Hangjie Yuan 2/25/2026

CogFlow: Bridging Perception and Reasoning through Knowledge Internalization for Visual Mathematical Problem Solving

CogFlow: Multimodal LLM system for visual math problem solving improving visual perception integration and reasoning.

Ax Xing Li, Hui-Ling Zhen, Lihao Yin, Xianzhi Yu, Zhenhua Dong, Mingxuan Yuan 2/25/2026

What Matters For Safety Alignment?

Comprehensive empirical study evaluating factors affecting safety alignment in LLMs and LRMs across 32 recent models.

Ax Chi-Pin Huang, Yunze Man, Zhiding Yu, Min-Hung Chen, Jan Kautz, Yu-Chiang Frank Wang, Fu-En Yang 2/25/2026

Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning

Fast-ThinkAct: Efficient Vision-Language-Action framework reducing inference latency through verbalizable latent planning.

Ax Lorenzo Monti, Tatiana Muraveva, Brian Sheridan, Davide Massari, Alessia Garofalo, Gisella Clementini, Umberto Michelucci 2/25/2026

CLiMB: A Domain-Informed Novelty Detection Clustering Framework for Galactic Archaeology and Scientific Discovery

CLiMB: Domain-informed clustering framework for novelty detection in scientific discovery with application to galactic archaeology.

Ax Christopher Clark, Jieyu Zhang, Zixian Ma, Jae Sung Park, Mohammadreza Salehi, Rohun Tripathi, Sangho Lee, Zhongzheng Ren, Chris Dongjoo Kim, Yinuo Yang, Vincent Shao, Yue Yang, Weikai Huang, Ziqi Gao, Taira Anderson, Jianrui Zhang, Jitesh Jain, George Stoica, Winson Han, Ali Farhadi, Ranjay Krishna 2/25/2026

Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding

Molmo2: Open-weight vision-language model with video understanding, grounding, and disclosed training data and recipe.

Ax Haozheng Luo, Zhuolin Jiang, Md Zahid Hasan, Yan Chen, Soumalya Sarkar 2/25/2026

FROST: Filtering Reasoning Outliers with Attention for Efficient Reasoning

FROST: Attention-aware pruning method for efficient LLM reasoning by identifying and removing reasoning outliers while preserving capacity.

Ax Hongliu Cao, Eoin Thomas, Rodrigo Acuna Agost 2/25/2026

When LLMs Imagine People: A Human-Centered Persona Brainstorm Audit for Bias and Fairness in Creative Applications

Persona Brainstorm Audit method for detecting bias and fairness issues in open-ended creative outputs from LLMs.

Ax Sagnik Mukherjee, Lifan Yuan, Pavan Jayasinha, Dilek Hakkani-T\"ur, Hao Peng 2/25/2026

Do We Need Adam? Surprisingly Strong and Sparse Reinforcement Learning with SGD in LLMs

Study showing SGD with sparsity outperforms Adam for RL from verifiable reward in LLM training, challenging standard optimization practices.

Ax Yuzhu Cai, Zexi Liu, Xinyu Zhu, Cheng Wang, Siheng Chen 2/25/2026

AceGRPO: Adaptive Curriculum Enhanced Group Relative Policy Optimization for Autonomous Machine Learning Engineering

AceGRPO: Reinforcement learning agent for autonomous ML engineering using adaptive curriculum and group relative policy optimization to overcome parameter freezing.

Ax Jan Philip Wahle 2/25/2026

Language Modeling and Understanding Through Paraphrase Generation and Detection

Study on paraphrase generation and detection as mechanisms for language understanding and modeling in neural networks.

Ax Venus Team, Changlong Gao, Zhangxuan Gu, Yulin Liu, Xinyu Qiu, Shuheng Shen, Yue Wen, Tianyu Xia, Zhenyu Xu, Zhengwen Zeng, Beitong Zhou, Xingran Zhou, Weizhi Chen, Sunhao Dai, Jingya Dou, Yichen Gong, Yuan Guo, Zhenlin Guo, Feng Li, Qian Li, Jinzhen Lin, Yuqi Zhou, Linchao Zhu, Liang Chen, Zhenyu Guo, Changhua Meng, Weiqiang Wang 2/25/2026

UI-Venus-1.5 Technical Report

UI-Venus-1.5: GUI agent with 2B, 8B, and 30B-A3B variants for automating digital environment interactions with broad generality and strong task performance.

Ax Guobin Shen, Chenxiao Zhao, Xiang Cheng, Lei Huang, Xing Yu 2/25/2026

VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training

VESPO: reinforcement learning method for training LLMs with improved stability through soft policy optimization and importance sampling to address policy divergence.

Ax Zukang Xu, Zhixiong Zhao, Xing Hu, Zhixuan Chen, Dawei Yang 2/25/2026

KBVQ-MoE: KLT-guided SVD with Bias-Corrected Vector Quantization for MoE Large Language Models

KBVQ-MoE: compression technique for Mixture of Experts LLMs using vector quantization and SVD to reduce parameter size and memory for resource-constrained deployment.

Ax Emily Bejerano, Federico Tondolo, Ayaan Qayyum, Xiaofan Yu, Xiaofan Jiang 2/25/2026

Sim2Radar: Toward Bridging the Radar Sim-to-Real Gap with VLM-Guided Scene Reconstruction

Sim2Radar uses VLM-guided scene reconstruction to synthesize radar training data from RGB images, addressing radar dataset scarcity.

Ax Hong Li, Zhen Zhou, Honggang Zhang, Yuping Luo, Xinyue Wang, Han Gong, Zhiyuan Liu 2/25/2026

Silent Inconsistency in Data-Parallel Full Fine-Tuning: Diagnosing Worker-Level Optimization Misalignment

Identifies and analyzes 'silent inconsistency' problem in data-parallel LLM fine-tuning where gradient synchronization doesn't ensure worker-level optimization alignment.

Ax Xingjian Wu, Xvyuan Liu, Junkai Lu, Siyuan Wang, Xiangfei Qiu, Yang Shu, Jilin Hu, Chenjuan Guo, Bin Yang 2/25/2026

ST-EVO: Towards Generative Spatio-Temporal Evolution of Multi-Agent Communication Topologies

ST-EVO framework for self-evolving LLM-powered multi-agent systems that dynamically construct task-adaptive communication topologies instead of predefined structures.

Ax Jayadev Billa 2/25/2026

Anatomy of Capability Emergence: Scale-Invariant Representation Collapse and Top-Down Reorganization in Neural Networks

Studies mechanical basis of capability emergence in neural networks across scales 405K-85M parameters, finding scale-invariant representation collapse and top-down reorganization.

Ax KC Santosh, Srikanth Baride, Rodrigue Rizk 2/25/2026

AI-CARE: Carbon-Aware Reporting Evaluation Metric for AI Models

Proposes AI-CARE metric incorporating carbon emissions and energy consumption alongside standard performance metrics for ML model evaluation.

Ax Shahriar Golchin, Marc Wetter 2/25/2026

Intent Laundering: AI Safety Datasets Are Not What They Seem

Analyzes quality issues in AI safety datasets, finding they rely on superficial 'triggering cues' rather than genuine adversarial patterns.

Ax Xinyi Lu, Kexin Phyllis Ju, Mitchell Dudley, Larissa Sano, Xu Wang 2/25/2026

AI-Mediated Feedback Improves Student Revisions: A Randomized Trial with FeedbackWriter in a Large Undergraduate Course

Randomized trial showing AI-generated feedback suggestions via FeedbackWriter improve student revisions when reviewed by human TAs in economics course.

Ax Chuqin Geng, Li Zhang, Haolin Ye, Ziyu Zhao, Yuhe Jiang, Tara Saba, Xinyu Wang, Xujie Si 2/25/2026

Beyond Message Passing: A Symbolic Alternative for Expressive and Interpretable Graph Learning

Proposes symbolic alternative to GNN message-passing for more interpretable and expressive graph learning in high-stakes domains.

Ax Xiaoliang Fu, Jiaye Lin, Yangyi Fang, Binbin Zheng, Chaowen Hu, Zekai Shao, Cong Qin, Lu Pan, Ke Zeng, Xunliang Cai 2/25/2026

MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM Reasoning

MASPO algorithm improves LLM reasoning through reinforcement learning with verifiable rewards, addressing gradient utilization and probability mass issues in existing RLVR methods.

Ax Seyed Hossein Alavi, Zining Wang, Shruthi Chockkalingam, Raymond T. Ng, Vered Shwartz 2/25/2026

Games That Teach, Chats That Convince: Comparing Interactive and Static Formats for Persuasive Learning

User study comparing chatbots, games, and essays for persuasive learning on sustainability topics with identical content.

Ax Muhammad Tayyab Khan, Lequn Chen, Wenhe Feng, Seung Ki Moon 2/25/2026

Context-Aware Mapping of 2D Drawing Annotations to 3D CAD Features Using LLM-Assisted Reasoning for Manufacturing Automation

Uses LLM-assisted reasoning to map 2D engineering drawing annotations to 3D CAD features for manufacturing automation and process planning.

Ax Yuxuan Li, Leyang Li, Hao-Ping Lee, Sauvik Das 2/25/2026

How Well Can LLM Agents Simulate End-User Security and Privacy Attitudes and Behaviors?

Benchmark study (SP-ABCBench) evaluating whether LLM agents can simulate human security and privacy attitudes and behaviors for risk forecasting.

Ax Xiaoming Zhai, Kent Crippen 2/25/2026

Transforming Science Learning Materials in the Era of Artificial Intelligence

Examines integration of AI into science education materials, covering personalization, adaptive instruction, and accessibility in K-12 learning contexts.