Ax Bj\"orn Hoppmann, Christoph Scholz 4/2/2026

Meta-Learning and Meta-Reinforcement Learning -- Tracing the Path towards DeepMind's Adaptive Agent

Survey on meta-learning and meta-reinforcement learning enabling rapid adaptation to novel tasks with minimal data.

Ax Jonas Karge 4/2/2026

Epistemic Filtering and Collective Hallucination: A Jury Theorem for Confidence-Calibrated Agents

arXiv paper on heterogeneous agent collective accuracy using calibration and selective abstention in voting systems.

Ax Julia Jose, Ritik Roongta, Rachel Greenstadt 4/2/2026

When Agents Persuade: Rhetoric Generation and Mitigation in LLMs

Analysis of LLM-based agents' capability to generate propaganda and rhetorical manipulation, with detection of techniques like loaded language and appeals to fear.

Ax Vasily Ilin 4/2/2026

Semi-Autonomous Formalization of the Vlasov-Maxwell-Landau Equilibrium

AI-assisted formalization of Vlasov-Maxwell-Landau system equilibrium in Lean 4 using DeepThink reasoning and Claude Code agent for automated theorem proving.

Ax Yi Nian, Haosen Cao, Shenzhe Zhu, Henry Peng Zou, Qingqing Luan, Yue Zhao 4/2/2026

When Only the Final Text Survives: Implicit Execution Tracing for Multi-Agent Attribution

Attribution method for multi-agent systems that identifies responsible agents without execution logs by analyzing final text only, addressing privacy-constrained scenarios.

Ax Chung-En Johnny Yu, Brian Jalaian, Nathaniel D. Bastian 4/2/2026

SCoOP: Semantic Consistent Opinion Pooling for Uncertainty Quantification in Multiple Vision-Language Model Systems

Training-free uncertainty quantification framework for combining multiple vision-language models through semantic-consistent opinion pooling to reduce hallucinations.

Ax Zehua Han, Jing Xiao, Yiqi Duan, Mengyu Xiang, Yuheng Ji, Xiaolong Zheng, Chenghanyu Zhang, Zhendong She, Junyu Shen, Dingwei Tan, Shichu Sun, Zhou Cong, Mingxuan Liu, Fengxiang Wang, Jinping Sun, Yangang Sun 4/2/2026

PReD: An LLM-based Foundation Multimodal Model for Electromagnetic Perception, Recognition, and Decision

Foundation multimodal model for electromagnetic domain covering perception, recognition, and decision-making using LLM capabilities adapted for domain-specific applications.

Ax Lvmin Zhang, Maneesh Agrawala 4/2/2026

View-oriented Conversation Compiler for Agent Trace Analysis

Compiler for analyzing and visualizing structured agent traces including nested tool calls, reasoning blocks, and sub-agent invocations for better agentic system understanding.

Ax Davide Di Gioia 4/2/2026

Cognitive Friction: A Decision-Theoretic Framework for Bounded Deliberation in Tool-Using Agents

Decision-theoretic framework (Triadic Cognitive Architecture) for tool-using agents that bounds information-acquisition costs and tool usage to prevent systematic failures.

Ax Manuel Serra Nunes, Atabak Dehban, Yiannis Demiris, Jos\'e Santos-Victor 4/2/2026

Ego-Foresight: Self-supervised Learning of Agent-Aware Representations for Improved RL

Self-supervised learning method for RL agents that models agent and environment separately to improve sample efficiency without requiring supervisory signals.

Ax Johnny Chan, Yuming Li 4/2/2026

Enhancing Team Diversity with Generative AI: A Novel Project Management Framework

Project management framework using generative AI agents to address team composition gaps by matching sociologically identified personality patterns and roles.

Ax Na Min An, Eunki Kim, Wan Ju Kang, Sangryul Kim, James Thorne, Hyunjung Shim 4/2/2026

How Blind and Low-Vision Individuals Prefer Large Vision-Language Model-Generated Scene Descriptions

User study with blind and low-vision participants evaluating preferences for LVLM-generated scene descriptions, examining effectiveness and user preferences.

Ax Jialuo Li, Wenhao Chai, Xingyu Fu, Haiyang Xu, Saining Xie 4/2/2026

Science-T2I: Addressing Scientific Illusions in Image Synthesis

ScienceT2I dataset and benchmark evaluating scientific correctness in image synthesis, addressing gap between visual fidelity and physical realism across 16 scientific domains.

Ax Carlos Rodriguez-Pardo, Leonardo Chiani, Emanuele Borgonovo, Massimo Tavoni 4/2/2026

Neural Conditional Transport Maps

Neural framework for learning conditional optimal transport maps with hypernetworks that generate adaptive transport parameters for categorical and continuous variables.

Ax Leon Eshuijs, Archie Chaudhury, Alan McBeth, Ethan Nguyen 4/2/2026

But what is your honest answer? Aiding LLM-judges with honest alternatives using steering vectors

JUSSA framework uses steering vectors to improve LLM-as-judge reliability by detecting and mitigating subtle dishonesty like sycophancy through contrastive alternatives.

Ax Chunyang Jiang, Chi-min Chan, Yiyang Cai, Yulong Liu, Wei Xue, Yike Guo 4/2/2026

Graceful Forgetting in Generative Language Models

Proposes graceful forgetting methods to mitigate negative transfer by selectively forgetting detrimental pre-training knowledge during fine-tuning of language models.

Ax Shimao Zhang, Zhejian Lai, Xiang Liu, Shuaijie She, Xiao Liu, Yeyun Gong, Shujian Huang, Jiajun Chen 4/2/2026

How Does Alignment Enhance LLMs' Multilingual Capabilities? A Language Neurons Perspective

Analyzes language-specific neurons to understand how multilingual alignment transfers capabilities from high-resource to low-resource languages in LLMs.

Ax Ananthu Aniraj, Cassio F. Dantas, Dino Ienco, Diego Marcos 4/2/2026

Two-stage Vision Transformers and Hard Masking offer Robust Object Representations

Two-stage vision transformer with hard masking approach for robust object representations that balance context dependence with distribution shift robustness.

Ax Kellie Yu Hui Sim, Roy Ka-Wei Lee, Kenny Tsu Wei Choo 4/2/2026

"Is This Really a Human Peer Supporter?": Misalignments Between Peer Supporters and Experts in LLM-Supported Interactions

Investigates misalignments between LLM-supported peer supporters and mental health experts, examining quality and safety concerns in AI-driven psychosocial support.

Ax Hexiang Gu, Qifan Yu, Yuan Liu, Zikang Li, Saihui Hou, Jian Zhao, Zhaofeng He 4/2/2026

MemeMind: A Large-Scale Multimodal Dataset with Chain-of-Thought Reasoning for Harmful Meme Detection

MemeMind dataset with chain-of-thought reasoning for detecting harmful memes, addressing implicit harmful content in multimodal text-image combinations.

Ax Zhenpeng Su, Leiyu Pan, Xue Bai, Dening Liu, Guanting Dong, Jiaming Huang, Minxuan Lv, Wenping Hu, Fuzheng Zhang, Kun Gai, Guorui Zhou 4/2/2026

Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization

Klear-Reasoner model demonstrates long reasoning capabilities with gradient-preserving clipping for policy optimization, achieving strong benchmark performance with reproducible training details.

Ax Jubayer Ibn Hamid, Ifdita Hasan Orney, Ellen Xu, Chelsea Finn, Dorsa Sadigh 4/2/2026

Polychromic Objectives for Reinforcement Learning

Addresses mode collapse in reinforcement learning fine-tuning by introducing polychromic objectives that preserve policy diversity and enable better exploration.

Ax Yuanfang Xiang, Lun Ai 4/2/2026

Adaptive Data-Knowledge Alignment in Genetic Perturbation Prediction

Proposes end-to-end integration of data-driven learning and existing knowledge for predicting transcriptional responses to genetic perturbations in biological systems.

Ax Eunki Kim, Na Min An, Wan Ju Kang, Sangryul Kim, James Thorne, Hyunjung Shim 4/2/2026

Are Large Vision-Language Models Ready to Guide Blind and Low-Vision Individuals?

Evaluates whether large vision-language models can effectively guide blind and low-vision individuals, addressing how to measure real-world utility beyond standard metrics.

Ax Shira Schiber, Ofir Lindenbaum, Idan Schwartz 4/2/2026

TempoControl: Temporal Attention Guidance for Text-to-Video Models

TempoControl method enables fine-grained temporal control in text-to-video generative models, allowing specification of when visual elements appear in sequences without retraining.

Ax Jacek Karwowski, Raymond Douglas 4/2/2026

Incoherence in Goal-Conditioned Autoregressive Models

Mathematical analysis of incoherence in goal-conditioned autoregressive models fine-tuned with reinforcement learning.

Ax Elias Hossain, Mehrdad Shoeibi, Ivan Garibay, Niloofar Yousefi 4/2/2026

BIOGEN: Evidence-Grounded Multi-Agent Reasoning Framework for Transcriptomic Interpretation in Antimicrobial Resistance

Multi-agent reasoning framework for interpreting gene clusters in antimicrobial resistance studies using transcriptomic data.

Ax Guneet S. Dhillon, Javier Gonz\'alez, Teodora Pandeva, Alicia Curth 4/2/2026

E-Scores for (In)Correctness Assessment of Generative Model Outputs

Conformal prediction framework for assessing correctness of LLM outputs with user-defined tolerance levels.

Ax Yishan Du, Conrad Borchers, Mutlu Cukurova 4/2/2026

Benchmarking Educational LLMs with Analytics: A Case Study on Gender Bias in Feedback

Benchmarking framework using embeddings to detect gender bias in LLMs used for educational feedback on student essays.

Ax Asad Aali, Muhammad Ahmed Mohsin, Vasiliki Bikia, Arnav Singhvi, Richard Gaus, Suhana Bedi, Hejie Cui, Miguel Fuentes, Alyssa Unell, Yifan Mai, Jordan Cahoon, Michael Pfeffer, Roxana Daneshjou, Sanmi Koyejo, Emily Alsentzer, Christopher Potts, Nigam H. Shah, Akshay S. Chaudhari 4/2/2026

Structured Prompts Improve Evaluation of Language Models

Study showing structured prompts significantly improve LLM evaluation accuracy and reduce prompt-dependent variance in benchmark frameworks like HELM.

Ax Sai Koneru, Matthias Huck, Jan Niehues 4/2/2026

OmniFusion: Simultaneous Multilingual Multimodal Translations via Modular Fusion

OmniFusion modular approach for simultaneous multilingual multimodal translation combining speech recognition and translation in open-source LLM pipelines.

Ax Isha Chaudhary, Vedaant Jain, Prineet Parhar, Kavya Sachdeva, Avaljot Singh, Sayan Ranu, Gagandeep Singh 4/2/2026

Lumos: Let there be Language Model System Certification

Lumos framework for formally certifying language model system behaviors using imperative probabilistic programming with graph-based prompt generation.

Ax Md Jahedur Rahman, Ihsen Alouani 4/2/2026

Bypassing Prompt Injection Detectors through Evasive Injections

Study demonstrating evasive injection techniques that bypass ML-based prompt injection detectors in retrieval-augmented LLM systems.

Ax Sohan Venkatesh, Ashish Mahendran Kurapath 4/2/2026

On the Non-Identifiability of Steering Vectors in Large Language Models

Analysis showing steering vectors in LLMs are fundamentally non-identifiable with large equivalence classes, questioning interpretability of activation steering methods.

Ax Isaac Han, Sangyeon Park, Seungwon Oh, Donghu Kim, Hojoon Lee, Kyung-Joong Kim 4/2/2026

FIRE: Frobenius-Isometry Reinitialization for Balancing the Stability-Plasticity Tradeoff

FIRE reinitialization method balancing stability-plasticity tradeoff in continual learning for deep neural networks through Frobenius-isometry constraints.

Ax Arshad Beg, Diarmuid O'Donoghue, Rosemary Monahan 4/2/2026

Evaluating LLM-Generated ACSL Annotations for Formal Verification

Empirical evaluation of LLM-generated ACSL formal specification annotations for C programs, assessing automatic verification without human assistance.

Ax Eason Chen, Sophia Judicke, Kayla Beigh, Xinyi Tang, Isabel Wang, Nina Yuan, Zimo Xiao, Chuangji Li, Shizhuo Li, Reed Luttmer, Shreya Singh, Maria Yampolsky, Naman Parikh, Yvonne Zhao, Meiyi Chen, Scarlett Huang, Anishka Mohanty, Gregory Johnson, John Mackey, Jionghao Lin, Ken Koedinger 4/2/2026

Chat-Based Support Alone May Not Be Enough: Comparing Conversational and Embedded LLM Feedback for Mathematical Proof Learning

Empirical evaluation of GPTutor LLM tutoring system comparing embedded proof-review feedback versus chatbot support for discrete mathematics learning.

Ax Jialong Chen, Xander Xu, Hu Wei, Chuan Chen, Bing Zhao 4/2/2026

SWE-CI: Evaluating Agent Capabilities in Maintaining Codebases via Continuous Integration

SWE-CI benchmark evaluating LLM-powered agents on repository-level codebase maintenance via continuous integration and multi-step feature iterations.

Ax Ruiying Li, Yunlang Zhou, YuYao Zhu, Kylin Chen, Jingyuan Wang, Sukai Wang, Kongtao Hu, Minhui Yu, Bowen Jiang, Zhan Su, Jiayao Ma, Xin He, Yongjian Shen, Yang Yang, Guanghui Ren, Maoqing Yao, Wenhao Wang, Yao Mu 4/2/2026

RoboClaw: An Agentic Framework for Scalable Long-Horizon Robotic Tasks

RoboClaw agentic framework unifying data collection, policy learning, and deployment for long-horizon robotic tasks with vision-language-action systems.

Ax Haoyang Fang, Shuai Zhang, Yifei Ma, Hengyi Wang, Cuixiong Hu, Katrin Kirchhoff, Bernie Wang, George Karypis 4/2/2026

OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation

OPERA framework for data pruning in dense retrieval models that improves both efficiency and effectiveness of domain-specific finetuning through heterogeneous pair selection.

Ax Echo Zexuan Pan, Danny Glick, Ying Xu 4/2/2026

How Motivation Relates to Generative AI Use: A Large-Scale Survey of Mexican High School Students

Survey of 6,793 Mexican high school students examining how different motivational profiles relate to generative AI tool usage in math and writing.

Ax Eric A. Moreno, Samuel Bright-Thonney, Andrzej Novak, Dolores Garcia, Philip Harris 4/2/2026

AI Agents Can Already Autonomously Perform Experimental High Energy Physics

Demonstrates LLM-based AI agents autonomously executing high energy physics analysis pipelines including event selection, background estimation, and statistical testing.

Ax Hengwei Ye, Yuanting Guan, Yuxuan Ge, Tianying Zhu, Zhenhan Guan, Yijia Zhong, Yijing Zhang, Han Zhang, Yingna Wu, Zheng Tian 4/2/2026

Children's Intelligence Tests Pose Challenges for MLLMs? KidGym: A 2D Grid-Based Reasoning Benchmark for MLLMs

KidGym benchmark dataset based on children's intelligence tests to evaluate multimodal LLMs on visual reasoning tasks.

Ax Dogan Urgun, Gokhan Gungor 4/2/2026

Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforcement Learning

Framework using LLMs to automate reward design for multi-agent reinforcement learning by synthesizing executable reward programs.

Ax Marc-Antoine Allard, Arnaud Teinturier, Victor Xing, Gautier Viaud 4/2/2026

Experiential Reflective Learning for Self-Improving LLM Agents

Experiential Reflective Learning framework enabling LLM agents to self-improve by leveraging past interactions and adapting to specialized environments.

Ax Miranda Muqing Miao, Lyle Ungar 4/2/2026

Closing the Confidence-Faithfulness Gap in Large Language Models

Mechanistic interpretability analysis of how LLMs verbalize confidence scores versus actual accuracy using linear probes and activation steering.

Ax Devashish Gaikwad, Wil M. P. van der Aalst, Gyunam Park 4/2/2026

Neuro-Symbolic Process Anomaly Detection

Neuro-symbolic approach combining neural networks with domain knowledge for process anomaly detection in event logs.

Ax Zehai He, Wenyi Hong, Zhen Yang, Ziyang Pan, Mingdao Liu, Xiaotao Gu, Jie Tang 4/2/2026

Vision2Web: A Hierarchical Benchmark for Visual Website Development with Agent Verification

Vision2Web: Hierarchical benchmark for evaluating AI agents on website development tasks from UI-to-code to full-stack implementation.

Ax Guilin Zhang, Wulan Guo, Ziqi Tan, Chuanyi Sun, Hailong Jiang 4/2/2026

CarbonEdge: Carbon-Aware Deep Learning Inference Framework for Sustainable Edge Computing

CarbonEdge: Carbon-aware deep learning inference framework for edge computing optimizing environmental impact alongside latency and throughput.

Ax Kesheng Chen, Yamin Hu, Qi Zhou, Zhenqian Zhu, Wenjian Luo 4/2/2026

CDH-Bench: A Commonsense-Driven Hallucination Benchmark for Evaluating Visual Fidelity in Vision-Language Models

CDH-Bench: Benchmark evaluating vision-language models' commonsense-driven hallucinations when visual evidence conflicts with common sense.