Isolater - Feed

Ax Ryan Faulkner, Anushka Deshpande, David Guzman Piedrahita, Joel Z. Leibo, Zhijing Jin 4/14/2026

Evaluating Cooperation in LLM Social Groups through Elected Leadership

Studies whether LLM-based agents improve cooperation in common-pool resource management through structured leadership and election mechanisms.

Ax Haojie Bai, Aimin Li, Ruoyu Yao, Xiongwei Zhao, Tingting Zhang, Xing Zhang, Lin Gao, and Jun Ma 4/14/2026

Multi-ORFT: Stable Online Reinforcement Fine-Tuning for Multi-Agent Diffusion Planning in Cooperative Driving

Multi-ORFT stabilizes online reinforcement fine-tuning for multi-agent diffusion models in cooperative autonomous driving scenarios.

Ax Hongli Zhan, Emma S. Gueorguieva, Javier Hernandez, Jina Suh, Desmond C. Ong, Junyi Jessy Li 4/14/2026

Discourse Diversity in Multi-Turn Empathic Dialogue

Analysis of discourse diversity in multi-turn empathic dialogue, examining LLM formulaicity beyond single-turn settings.

Ax Quanyi Li, Lan Feng, Haonan Zhang, Wuyang Li, Letian Wang, Alexandre Alahi, Harold Soh 4/14/2026

Grounded World Model for Semantically Generalizable Planning

Grounded world models for visuomotor planning using pretrained vision encoders, enabling semantic generalization without explicit goal images.

Ax Jinhui Ye, Ning Gao, Senqiao Yang, Jinliang Zheng, Zixuan Wang, Yuxin Chen, Pengguang Chen, Yilun Chen, Shu Liu, Jiaya Jia 4/14/2026

StarVLA-$\alpha$: Reducing Complexity in Vision-Language-Action Systems

StarVLA-α simplifies Vision-Language-Action models for robotic agents by studying unified design choices across architectures and training data.

Ax Junlin Liu, Shengnan An, Shuang Zhou, Dan Ma, Shixiong Luo, Ying Xie, Yuan Zhang, Wenling Yuan, Yifan Zhou, Xiaoyu Li, Ziwen Wang, Xuezhi Cao, Xunliang Cai 4/14/2026

General365: Benchmarking General Reasoning in Large Language Models Across Diverse and Challenging Tasks

Benchmark for evaluating general reasoning capabilities of LLMs across diverse challenging tasks beyond domain-specific reasoning.

Ax Fei Tang, Zhiqiong Lu, Boxuan Zhang, Weiming Lu, Jun Xiao, Yueting Zhuang, Yongliang Shen 4/14/2026

ClawGUI: A Unified Framework for Training, Evaluating, and Deploying GUI Agents

Full-stack infrastructure for training, evaluating, and deploying GUI agents with online RL and unified evaluation framework.

Ax Wei Zhao, Zhe Li, Peixin Zhang, Jun Sun 4/14/2026

ClawGuard: A Runtime Security Framework for Tool-Augmented LLM Agents Against Indirect Prompt Injection

Runtime security framework protecting tool-augmented LLM agents against indirect prompt injection attacks through tool-returned content.

Ax Hugh Blayney, \'Alvaro Arroyo, Johan Obando-Ceron, Pablo Samuel Castro, Aaron Courville, Michael M. Bronstein, Xiaowen Dong 4/14/2026

A Mechanistic Analysis of Looped Reasoning Language Models

Mechanistic analysis of internal dynamics in looped reasoning language models versus standard feedforward models.

Ax Chenxi Qing, Junxi Wu, Zheng Liu, Yixiang Qiu, Hongyao Yu, Bin Chen, Hao Wu, Shu-Tao Xia 4/14/2026

C-ReD: A Comprehensive Chinese Benchmark for AI-Generated Text Detection Derived from Real-World Prompts

Benchmark dataset for detecting AI-generated Chinese text with evaluation across multiple LLM architectures.

Ax Mihir Prabhudesai, Aryan Satpathy, Yangmin Li, Zheyang Qin, Nikash Bhardwaj, Amir Zadeh, Chuan Li, Katerina Fragkiadaki, Deepak Pathak 4/14/2026

Solving Physics Olympiad via Reinforcement Learning on Physics Simulators

RL approach for training physics reasoning models on simulators to address lack of large-scale QA datasets in physics domain.

Ax Ryan Saklad, Aman Chadha, Oleg Pavlov, Raha Moraffah 4/14/2026

Can Large Language Models Infer Causal Relationships from Real-World Text?

Evaluation of LLM causal reasoning capabilities using real-world complex texts with implicit causal relationships.

Ax Zelai Xu, Zhexuan Xu, Xiangmin Yi, Huining Yuan, Mo Guang, Kaiwen Long, Xinlei Chen, Yi Wu, Chao Yu, Yu Wang 4/14/2026

VS-Bench: Evaluating VLMs for Strategic Abilities in Multi-Agent Environments

Benchmark evaluating VLMs' strategic reasoning abilities in multi-agent environments with multimodal observations.

Ax Ashutosh Hathidara, Julien Yu, Sebastian Schreiber 4/14/2026

Disambiguation-Centric Finetuning Makes Enterprise Tool-Calling LLMs More Realistic and Less Risky

Three-stage pipeline for disambiguation-centric finetuning of enterprise tool-calling LLMs to reduce errors with near-duplicate tools.

Ax Zhilin Zhang, Xiang Zhang, Jiaqi Wei, Yiwei Xu, Chenyu You 4/14/2026

PosterGen: Aesthetic-Aware Multi-Modal Paper-to-Poster Generation via Multi-Agent LLMs

Multi-agent LLM system for automated academic poster generation from papers incorporating design and aesthetic principles.

Ax Zonghai Yao, Talha Chafekar, Junda Wang, Shuo Han, Feiyun Ouyang, Junhui Qian, Lingxi Li, Hong Yu 4/14/2026

ChatCLIDS: Simulating Persuasive AI Dialogues to Promote Closed-Loop Insulin Adoption in Type 1 Diabetes Care

Benchmark and framework for evaluating LLM-driven persuasive dialogue for health behavior change in insulin delivery adoption.

Ax Renqi Chen, Zeyin Tao, Jianming Guo, Jingzhe Zhu, Yiheng Peng, Qingqing Sun, Tianyi Zhang, Shuai Chen 4/14/2026

RISK: A Framework for GUI Agents in E-commerce Risk Management

GUI agent framework for multi-step e-commerce risk management handling stateful interactions with dynamic web content.

Ax Hehai Lin, Shilei Cao, Sudong Wang, Haotian Wu, Minzhi Li, Linyi Yang, Juepeng Zheng, Chengwei Qin 4/14/2026

Interactive Learning for LLM Reasoning

Interactive learning approach enabling LLMs to improve reasoning through multi-agent interactions during inference without re-execution.

Ax Yuyang Liu, Chuan Wen, Yihang Hu, Dinesh Jayaraman, Yang Gao 4/14/2026

TimeRewarder: Learning Dense Reward from Passive Videos via Frame-wise Temporal Distance

Reward learning method deriving progress estimation signals from passive videos for robotics RL tasks without manual reward engineering.

Ax Shaoan Xie, Lingjing Kong, Xiangchen Song, Xinshuai Dong, Guangyi Chen, Eric P. Xing, Kun Zhang 4/14/2026

Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards

RL method for improving reasoning in diffusion-based language models using denoising process rewards instead of outcome-only rewards.

Ax Wenda Xie, Chao Guo, Yanqing Jing. Junle Wang, Yisheng Lv, Fei-Yue Wang 4/14/2026

Plug-and-Play Dramaturge: A Divide-and-Conquer Approach for Iterative Narrative Script Refinement via Collaborative LLM Agents

Multi-agent LLM system for iterative narrative script refinement using divide-and-conquer approach to improve long-form creative content generation.

Ax Pengkun Jiao, Yiming Jin, Jianhui Yang, Chenhe Dong, Zerui Huang, Shaowei Yao, Xiaojiang Zhou, Dan Ou, Haihong Tang 4/14/2026

SHE: Stepwise Hybrid Examination Reinforcement Learning Framework for E-commerce Search Relevance

RL framework for e-commerce search relevance using stepwise reward optimization to improve LLM-based query-product matching beyond SFT/DPO limitations.

Ax Weihua Cheng, Junming Liu, Yifei Sun, Botian Shi, W Yirong Chen, Ding Wang 4/14/2026

MGA: Memory-Driven GUI Agent for Observation-Centric Interaction

MGA memory-driven GUI agent reduces context overload and architectural redundancy by managing sequential trajectory history for improved long-horizon end-to-end automation.

Ax Junze Ye, Daniel Tawfik, Alex J. Goodell, Nikhil V. Kotha, Mark K. Buyyounouski, Mohsen Bayati 4/14/2026

Scalable Stewardship of an LLM-Assisted Clinical Benchmark with Physician Oversight

Audits MedCalc-Bench clinical labels using physician-in-the-loop stewardship to assess reliability of LLM-synthesized reference labels in ML benchmarks.

Ax Yang Zhao, Yangou Ouyang, Xiao Ding, Hepeng Wang, Bibo Cai, Kai Xiong, Jinglong Gao, Zhouhao Sun, Li Du, Bing Qin, Ting Liu 4/14/2026

Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient Concentration

PRISM framework disentangles SFT and RL training data via gradient concentration to diagnose learning needs and optimize data allocation for LLM agent training.

Ax Keyu Li, Junhao Shi, Yang Xiao, Mohan Jiang, Jie Sun, Yunze Wu, Dayuan Fu, Shijie Xia, Xiaojie Cai, Tianze Xu, Weiye Si, Wenjie Li, Dequan Wang, Pengfei Liu 4/14/2026

AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World Contexts

AgencyBench evaluates LLM-based autonomous agents on long-horizon real-world scenarios with 1M-token context windows, enabling scalable automated evaluation without human-in-the-loop.

Ax Mengxuan Wang, Yuxin Chen, Gang Xu, Tao He, Hongjie Jiang, Ming Li 4/14/2026

Risk Awareness Injection: Calibrating Vision-Language Models for Safety without Compromising Utility

Risk Awareness Injection method calibrates vision-language models against multimodal jailbreak attacks without fine-tuning or token manipulation, preserving model utility.

Ax Jinbiao Wei, Yilun Zhao, Kangqi Ni, Arman Cohan 4/14/2026

ANCHOR: Branch-Point Data Generation for GUI Agents

ANCHOR framework generates high-quality synthetic training data for GUI agents by trajectory expansion from seed demonstrations to create diverse, goal-consistent interaction data.

Ax Alisa Vinogradova, Vlad Vinogradov, Luba Greenwood, Ilya Yasny, Dmitry Kobyzev, Shoman Kasbekar, Kong Nguyen, Dmitrii Radkevich, Roman Doronin, Andrey Doronichev 4/14/2026

Hunt Globally: Wide Search AI Agents for Drug Asset Scouting in Investing, Business Development, and Competitive Intelligence

AI agent system for pharmaceutical drug asset scouting across global non-English channels to identify novel drug development opportunities via multi-source intelligence.

Ax Jiahao Huang, Fengyan Lin, Xuechao Yang, Chen Feng, Kexin Zhu, Xu Yang, Zhide Chen 4/14/2026

Nano-EmoX: Unifying Multimodal Emotional Intelligence from Perception to Empathy

Nano-EmoX proposes three-level cognitive hierarchy (perception, understanding, interaction) for unified multimodal emotional intelligence in language models with empathy capabilities.

Ax Boqin Yuan, Yue Su, Kun Yao 4/14/2026

Diagnosing Retrieval vs. Utilization Bottlenecks in LLM Agent Memory

Diagnostic framework for LLM agent memory systems comparing write strategies, retrieval methods, and utilization behavior to identify performance bottlenecks across memory components.

Ax Binxia Xu, Xiaoliang Luo, Luke Dickens, Robert M. Mok 4/14/2026

Do Machines Fail Like Humans? A Human-Centred Out-of-Distribution Spectrum for Mapping Error Alignment

Analyzes whether AI systems fail similarly to humans using error alignment metrics on out-of-distribution data to assess cognitive similarity and decision-making strategies.

Ax Luca Deck, Simeon Allmendinger, Lucas M\"uller, Niklas K\"uhl 4/14/2026

Normative Common Ground Replication (NormCoRe): Replication-by-Translation for Studying Norms in Multi-Agent AI

NormCoRe framework studies how norms emerge in multi-agent AI systems through deliberation and negotiation using replication-by-translation methodology for fairness-sensitive domains.

Ax Wenxuan Zhang, Lemeng Wu, Changsheng Zhao, Ernie Chang, Mingchen Zhuge, Zechun Liu, Andy Su, Hanxian Huang, Jun Chen, Chong Zhou, Raghuraman Krishnamoorthi, Vikas Chandra, Mohamed Elhoseiny, Wei Wen 4/14/2026

dTRPO: Trajectory Reduction in Policy Optimization of Diffusion Large Language Models

dTRPO algorithm reduces trajectory probability calculation costs for policy optimization of diffusion-based LLMs, enabling scaled offline RL training for preference alignment.

Ax Nicolas Martorell, Bruno Bianchi 4/14/2026

Quantitative Introspection in Language Models: Tracking Emotive States Across Conversation

Method for tracking internal states of LLMs across conversations using self-report-inspired techniques for safety, interpretability, and model welfare without white-box compression.

Ax Diego Calvanese, Angelo Casciani, Giuseppe De Giacomo, Marlon Dumas, Fabiana Fournier, Timotheus Kampik, Emanuele La Malfa, Lior Limonad, Andrea Marrella, Andreas Metzger, Marco Montali, Daniel Amyot, Peter Fettke, Artem Polyvyanyy, Stefanie Rinderle-Ma, Sebastian Sardi\~na, Niek Tax, Barbara Weber 4/14/2026

Agentic Business Process Management: A Research Manifesto

Manifesto proposing Agentic Business Process Management (APM) framework extending BPM to govern autonomous agents executing organizational processes with agent-oriented abstractions.

Ax Lijing Luo, Yiben Luo, Alexey Gorbatovski, Sergey Kovalchuk, Xiaodan Liang 4/14/2026

From Pixels to Digital Agents: An Empirical Study on the Taxonomy and Technological Trends of Reinforcement Learning Environments

Large-scale empirical study analyzing 2,000+ publications on reinforcement learning environments, proposing a taxonomy of RL environment evolution and technological trends.

Ax Silvia Rossi, Diletta Huyskes, Mackenzie Jorgensen 4/14/2026

Resisting Humanization: Ethical Front-End Design Choices in AI for Sensitive Contexts

Examines ethical front-end design choices in conversational AI systems, focusing on user interaction and representation rather than backend algorithmic issues.

Ax Karen Hambardzumyan, Nicolas Baldwin, Edan Toledo, Rishi Hazra, Michael Kuchnik, Bassel Al Omari, Thomas Simon Foster, Anton Protopopov, Jean-Christophe Gagnon-Audet, Ishita Mediratta, Kelvin Niu, Michael Shvartsman, Alisia Lupidi, Alexis Audran-Reiss, Parth Pathak, Tatiana Shavrina, Despoina Magka, Hela Momand, Derek Dunfield, Nicola Cancedda, Pontus Stenetorp, Carole-Jean Wu, Jakob Nicolaus Foerster, Yoram Bachrach, Martin Josifoski 4/14/2026