Ax Adis Alihodzic, Selma Skopljakovic Hubljar 7/10/2026

SHAP-Weighted Cross-Modal Expert Fusion for Emotion and Sentiment Recognition: Evidence and Limits

XAI-guided adaptive fusion method combining unimodal and cross-modal experts for emotion and sentiment recognition.

Ax Peng Cui, Jitao Wang, Siyan Xue, Yao Huang, Haoming Xia, Dong Li, Dengxiang Liu, Weilin Wang, Liping Liu, Leida Zhang, Yunfu Cui, Tao Peng, Daolin Ji, Haitao Zhao, Wei Zhang, Xiaojuan Wang, Weijie Ma, Zongren Ding, Jinlong Li, Yuan Ding, Jiajing Zhao, Zhiyu Chen, Chengkun Yang, Ziyue Huang, Jiaqi Liu, Fusheng Liu, Yang Zhou, Xiaojuan Wang, Zhongquan Sun, Shiyun Bao, Xiaojun Wang, Ming Yang, Guangxin Li, Bin Shu, Yong Liao, Hongxuan Li, Yao Tang, Shizhong Yang, Yongyi Zeng, Yufeng Yuan, Yinpeng Dong, Jihui Hao, Jun Zhu, Jiahong Dong 7/10/2026

Towards Precision Therapy in Hepatocellular Carcinoma: A Clinical-Reasoning LLM for Risk Stratification and Treatment Guidance

Clinical-reasoning LLM for hepatocellular carcinoma risk stratification and treatment guidance from EMR narratives.

Ax Jo\~ao Matos, Olivia Buege, Donny Cheung, Gary S. Collins, Paula Dhiman, Nan Li, Bingyu Mao, Benjamin W. Nelson, Michail Ouroutzoglou, Paul Varghese, Jonathan Amar 7/10/2026

The complexities of patient-centred conversational artificial intelligence

Analyzes real patient-chatbot conversations to understand communication patterns and develops patient simulator for evaluating health LLMs.

Ax Eugene Ng Yi Sheng, Bingquan Shen 7/10/2026

Formal Mechanisms for Market Stability in Self-Interested Agent Societies: A Marketplace Simulation Study

Multi-agent marketplace simulation studying formal mechanisms to prevent defection and maintain market stability among self-interested agents.

Ax Shilin Ou, Yifan Xu, Luyao Zhang 7/10/2026

SolarChain-Eval: A Physics-Constrained Benchmark for Trustworthy Economic Agents in Decentralized Energy Markets

Physics-constrained benchmark for evaluating trustworthiness of autonomous agents in decentralized energy markets considering task performance and exploitation risks.

Ax Yifan Wu, Lizhu Zhang, Yuhang Zhou, Mingyi Wang, Bo Peng, Serena Li, Xiangjun Fan, Zhuokai Zhao 7/10/2026

Remember When It Matters: Proactive Memory Agent for Long-Horizon Agents

Addresses behavioral state decay in long-horizon AI agents through proactive memory mechanisms to surface decision-relevant information across expanding trajectories.

Ax Baha Rababah, Cuneyt Gurcan Akcora, Carson K. Leung 7/10/2026

The Illusion of Equivalency: Statistical Characterization of Quantization Effects in LLMs

Analyzes quantization effects on LLMs beyond accuracy metrics, introducing correctness agreement to measure behavioral changes in quantized models.

Ax Emanuele Quinto, Carlo Andrea Rozzi, Francesco Zanitti 7/10/2026

Workflow as Knowledge: Semantic Persistence for LLM-Mediated Workflows

Proposes symbolic workflow model for LLM-mediated applications using tool use, retrieval, branching, and checkpointing with Lisp-inspired conceptual framework.

Ax Siddharth Damodharan, Radhika Gupta, Ali Alshami, Ryan Rabinowitz, Jugal Kalita 7/10/2026

AUTOPILOT VQA: Benchmarking Vision-Language Models for Incident-Centric Dashcam Understanding

Visual question answering benchmark for incident-centric dashcam understanding in autonomous driving using vision-language models.

Ax Kristina Schaaff, Quintus Stierstorfer, Valerie Heckel 7/10/2026

Using AI-based Learning Assistants in Higher Education: A Large-Scale Descriptive Analysis

Large-scale study of AI-based learning assistant usage patterns across 77,543 students in distance education.

Ax Yifan Zhou, Qihao Yang, Yan Li, Donggang Li, Xiru Hu, Hokin Deng, Ziyang Gong, Xuanyi Zhou, Huacan Wang, Xiangchao Yan, Wanghan Xu, Wenlong Zhang, Shaofeng Zhang, Yue Zhou, Yifan Yang, Zhihang Zhong, Xue Yang 7/10/2026

Ideas Have Genomes: Benchmarking Scientific Lineage Reasoning and Lineage-Grounded Idea Generation

Benchmark for evaluating LLMs on scientific lineage reasoning and idea generation grounded in paper citation inheritance structures.

Ax Oded Ovadia, Eli Turkel 7/10/2026

LLT: Local Linear Transformer for PDE Operator Learning

Local linear transformer architecture for PDE operator learning with reduced computational complexity and local interaction bias.

Ax Wentao Lu 7/10/2026

ReCoLoRA: Spectrum-Aware Recursive Consolidation for Continual LLM Fine-Tuning

Spectrum-aware framework for continual LLM fine-tuning using recursive consolidation of LoRA adapters across task sequences.

Ax J. de Curt\`o, I. de Zarz\`a 7/10/2026

Collective Intelligence with Foundation Models

Multi-agent framework coordinating solver, critic, and aggregator agents for consensus reasoning with semantic and procedural evaluation.

Ax Haozhan Tang, Zerui Wang, Yuxian Gu, Song Han, Han Cai 7/10/2026

Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE

Dynamic bifocal RoPE method for efficient zero-shot context extension in LLMs, supporting long-context agentic workflows and RAG.

Ax Hari Prasad 7/10/2026

A Transdiagnostic Space of Disorder Like Phenotypes in Reinforcement Learning Agents

Computational psychiatry study modeling psychological disorders in RL agents through controllable manipulation of cognitive appraisal signals.

Ax Ezgi Korkmaz 7/10/2026

Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms

Analysis of deep reinforcement learning evaluation paradigms and design principles from foundational DQN to recent algorithmic advances.

Ax Eric Jiang, Xiao Liang, Yikai Zhang, Yingjia Wan, Mengting Li, Haikang Deng, Alexander K. Taylor, Justin Baker, Rushil Raghavan, Junyi Zhang, Ying Nian Wu, Andrea L. Bertozzi, Kai-Wei Chang, Raghu Meka, Matthew Sottile, Nanyun Peng, Amit Sahai, Terence Tao, Wei Wang 7/10/2026

From Solvers to Research: Large Language Model-Driven Formal Mathematics at the Research Frontier

LLM-driven formal mathematics system for frontier research using interactive theorem proving, advancing beyond well-defined problems.

Ax Jingyao Cai, Shuaijun Liu, Abdul Rehman, Yutong Guo, Qin Tian, Thomas Dolby, Sue Green, Chantel Cox, Xiaosong Yang 7/10/2026

From Triggers to Emotions: A CPM-Grounded Appraisal Multi-Agent for Dynamic Emotional Evolution in Persona-Based Dialogue

Multi-agent LLM framework for dynamic emotional evolution in persona-based dialogue using cognitive appraisal models.

Ax Sirui Lu, Erickson Tjoa, J. Ignacio Cirac 7/10/2026

Multi-agent Autoformalization of Tensor Network Theory

Multi-agent LLM system for autonomous formalization of tensor network theory research, coordinated through structured blueprints with periodic human review.

Ax Erik Jagnandan, Mulugeta Haile, Gregory Barber, Pratik Chaudhari 7/10/2026

Time-to-Collision Based Dynamic Obstacle Avoidance Using Pretrained Vision Models for Robots in Unstructured Environments

Data-efficient vision-based obstacle avoidance for robots using pretrained vision models, avoiding sim-to-real transfer problems.

Ax Anupam Wagle, Ifrat Ikhtear Uddin, Chaowei Zhang, Longwei Wang 7/10/2026

Mechanistic Interpretability of LLM Jailbreaks via Internal Attribution Graphs

Research using internal attribution graphs to understand LLM jailbreak mechanisms and how adversarial perturbations alter internal reasoning.

Ax Nobin Sarwar, Shubhashis Roy Dipta, Zheyuan Liu, Vaidehi Patil 7/10/2026

Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks

Survey of multimodal unlearning methods, datasets, and benchmarks for VLMs, DMs, LLMs addressing sensitive/biased training data removal.

Ax Mohamed Amine Merzouk, Nolan Smyth, Damiano Fornasiere, Linh Le, David Williams-King, Adam Oberman 7/10/2026

Efficient Safety Alignment of Language Models via Latent Personality Traits

Latent Personality Alignment method for efficient safety alignment of LLMs using adversarial training on 66 harm-agnostic statements.

Ax Giulia Marchiori Pietrosanti, Giulio Rossolini, Giorgio Buttazzo 7/10/2026

Adversarial Decoys: Misdirecting Attention-Based Defenses in ViT

Research on adversarial decoys attacking Vision Transformers by misdirecting attention-based defenses. Security and robustness study.

Ax Claudio Meggio, Johan Pensar, Riccardo De Bin 7/10/2026

path_boost: A Python Package for Interpretable Graph-Level Prediction using Path-Based Gradient Boosting

path_boost Python package for interpretable graph-level prediction using path-based gradient boosting algorithm. Open source tool.

Ax Tommaso Cerruti, Tim Rieder, George Rowlands, Lingfeng Jin, Imanol Schlag 7/10/2026

Linear Attention Architectures: Mechanisms, Trade-offs, and Cross-Layer Routing

Comparative study of linear attention architectures (DeltaNet, Gated DeltaNet, Kimi Delta) addressing quadratic cost limitations of softmax attention.

Ax Yihong Xu, Mingyu Kang, Linyuan L\"u 7/10/2026

A Multi-cluster Boundary Learning Method for Out-of-Scope Intent Detection via MiniLM Embedding

Research on out-of-scope intent detection using multi-cluster boundary learning with MiniLM embeddings for human-machine interaction systems.

Ax Xiuyi Lou, Zicheng Xu, Yu-Neng Chuang, Hoang Anh Duy Le, Zhaozhuo Xu, Guanchu Wang, Vladimir Braverman 7/10/2026

When Implausible Tokens Get Reinforced: Tail-Aware Credit Calibration for LLM Reinforcement Learning

Tail-aware credit calibration method for LLM reinforcement learning that addresses positive-credit contamination in uniform token advantage assignment.

Ax Shyam Agarwal, Courtney Miller, Christian K\"astner, Bogdan Vasilescu 7/10/2026

3100 Opinions on Code Review in an AI World: Building Causal Theory from Practitioner Discourse

Qualitative analysis of 3100 practitioner opinions on code review in context of AI coding agents using causal inference.

Ax A. Sayyad, J. Emmons, S. Jones, T. Lin, H. Krishnan 7/10/2026

A Reliability Assessment of LALM Audio Judges for Full-Duplex Voice Agents

Empirical reliability assessment of Gemini models as audio judges for full-duplex voice agents, validated against human raters.

Ax Yufei Xia, Anjun Gao, Yueyang Quan, Zhuqing Liu, Minghong Fang 7/10/2026

Who Broke the System? Failure Localization in LLM-Based Multi-Agent Systems

Failure localization framework for diagnosing which agent caused system-level failures in LLM-based multi-agent systems.

Ax Anjun Gao, Yueyang Quan, Zhuqing Liu, Minghong Fang 7/10/2026

Beware What You Autocomplete: Forensic Attribution of Backdoored Code Completions

CodeTracer forensic framework for detecting and attributing backdoor attacks in code completion models.

Ax Nivasini Ananthakrishnan, Mark Bedaywi, Michael I. Jordan, Stuart Russell, Nika Haghtalab 7/10/2026

Provably Optimal Learning Algorithms for Assistance Games

Provably efficient learning algorithms for repeated assistance games where informed and uninformed agents optimize shared rewards.

Ax Riccardo Revalor, Jalees Rehman, Debjit Pal 7/10/2026

Can We Trust LLM's Logic? Quantifying Uncertainty, Coherence, and Robustness via a Graph-Based Framework

Graph-based framework to quantify uncertainty and coherence in LLM reasoning chains beyond final-answer agreement.

Ax Emily Jin, Joy Hsu, Yiqing Xu, Weiyu Liu, Nick Haber, Jiajun Wu 7/10/2026

APIVOT: Adaptive Planning with Interleaved Vision-Language Thoughts

Vision-language model planner for long-horizon robot tasks that interleaves semantic reasoning and geometric constraint checking adaptively.

Ax Ryota Kobayashi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Yasunori Ishii, Tomoyuki Okuno, Kazuki Kozuka 7/10/2026

Structured Pruning of Large Language Models via Power Transformation and Sign-Preserving Score Aggregation with Adaptive Feature Retention

Structured pruning method for LLMs using power transformation and sign-preserving score aggregation with adaptive feature retention.

Ax Shuang Wang, Chenxu Wang, Hantong Xing, Hanlin Mo, Lirong Han, Licheng Jiao 7/10/2026

DKDNet: Dual Knowledge and Data-Driven Network for Cross-Domain Automatic Modulation Classification

Deep learning method for automatic modulation classification with domain adaptation using knowledge and data-driven approaches.

Ax Dhruv Agarwal, Anya Shukla, Tanya Goyal, Aditya Vashistha 7/10/2026

PLURAL: A Global Dataset for Value Alignment

PLURAL dataset with 92 countries of value-aligned preference data from Integrated Values Survey to reduce Western bias in LLMs.

Ax Kshitij Dani, Cordero Core, Landung Setiawan, Carlos Garcia Jurado Suarez, Anshul Tambay, Vani Mandava, Anant Mittal 7/10/2026

Aleena: Alignment Agent for Research Software Engineering Collaborations

AI agent for research software engineering that maintains alignment across distributed artifacts like meetings, pull requests, and GitHub issues.

Ax Rapha\"el Sarfati, Pratyush Ranjan Tiwari, Siddharth Boppana, Christopher J. Earls, Srikar Varadaraj, Eric Ho 7/10/2026

What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness

Probing internal LLM representations to improve calibration and faithfulness of forecasting models beyond chain-of-thought outputs.

Ax Samuel Tetteh, Udip Shrestha, Joshua R. Waite, Cody Fleming 7/10/2026

Who Analyses the Analyser? Self-Validating LLM Hazard Analysis with Constitutional Meta-STPA

Framework for self-validating LLM-assisted safety analysis using Constitutional AI and Systems-Theoretic Process Analysis to detect hallucinations.

Ax Yidong Ouyang, Zhe Wang, Sourav Bhabesh, Dmitriy Bespalov 7/10/2026

Reinforcing the Generation Order of Multimodal Masked Diffusion Models

Investigation of adaptive token generation ordering in diffusion language models for text-to-image synthesis and multimodal understanding tasks.

Ax Jiantong Jiang, Peiyu Yang, Rui Zhang, Feng Liu 7/10/2026

Towards Efficient Large Language Model Serving: A Survey on System-Aware KV Cache Optimization

Survey on KV cache optimization techniques for efficient LLM serving, focusing on system-aware infrastructure for reducing memory and latency.

Ax Mayank Singal 7/10/2026

When Thinking Hurts: Epistemic Signals in the Reasoning Chains of Visual Language Models

Empirical analysis of uncertainty quantification in vision language models with chain-of-thought reasoning, testing four models on adversarial samples.

Ax Maud Ehrmann, Emanuela Boros, Juri Opitz, Andrianos Michail, Florian Wagner, Simon Clematide 7/10/2026

ICDAR 2026 HIPE-OCRepair Competition on LLM-Assisted OCR Post-Correction for Historical Documents

ICDAR competition on LLM-assisted OCR post-correction for historical documents. Evaluates LLM effectiveness across languages and document types.

Ax Corban Villa, Alp Eren Ozdarendeli, Sijun Tan, Raluca Ada Popa 7/10/2026

Prismata: Confining Cross-Site Prompt Injection in Web Agents

Security framework preventing prompt injection attacks on web-based autonomous agents. Confines cross-site injection by separating task from untrusted content.

Ax Xuefei Wang 7/10/2026

Out of Sight: Compression-Aware Content Protection against Agentic Crawlers

Defense against LLM-based agentic crawlers exploiting context compression. Revisits agent pipelines to identify new threat surface.

Ax Qi Lyu, Baicheng Liu, Xudong Wang, Jiahua Dong, Lianqing Liu, Zhi Han 7/10/2026

LEEVLA: Seeing What Matters in Latent Environment Evolution for Vision-Language-Action

Vision-language-action model for robotics emphasizing task-critical visual evidence. Handles complex dynamic scenarios with latent environment modeling.

Ax Lorenzo Pant\`e, Andrea Fanti, Roberto Capobianco 7/10/2026

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs

Open-ended RL curriculum using multi-modal LLMs to visually inspect agent policies and assess task difficulty. Enables complex skill development.