Agent Systems

Beyond the Context Window: Scaling Agentic RL via End-to-end Optimized Context Compression ACL 2026 BioTool: A Comprehensive Tool-Calling Dataset for Enhancing Biomedical Capabilities of Large Language Models ACL 2026 Boosting ASR Robustness via Test-Time Reinforcement Learning with Audio-Text Semantic Rewards AAAI 2026 Bootstrapping Personalized Insulin Therapy via Model-Based Reinforcement Learning: An In Silico Study AAAI 2026 Bot Blitz: A Scalable Hands-On Workshop for Teaching AI and Robotics Concepts Through Narrative-Driven Problem Solving AAAI 2026 Branch-and-Browse: Efficient and Controllable Web Exploration with Tree-Structured Reasoning and Action Memory ACL 2026 Breaking Down and Building Up: Mixture of Skill-Based Vision-and-Language Navigation Agents ACL 2026 BRIC: Bridging Kinematic Plans and Physical Control at Test Time AAAI 2026 Can LLM Agents Simulate Multi-Turn Human Behavior? Evidence from Real Online Customer Behavior Data ACL 2026 Can We Predict Before Executing Machine Learning Agents? ACL 2026 CardAIc-Agents: A Multimodal Framework with Hierarchical Adaptation for Cardiac Care Support MIDL 2026 Catching the First Light of Tomorrow: A Hackathon-Based Framework for Introducing High School Students to AI Agents AAAI 2026 CausalPulse: Agentic Copilot for Root Cause Analysis in Smart Manufacturing AAAI 2026 CBAL: Context-Based Agentic Learning for Speaker Diarization Segmentation Refinement ACL 2026 CGL: Advancing Continual GUI Learning via Reinforcement Fine-Tuning CVPR 2026 Chain-of-Search: Parameter-Efficient Reasoning for Zero-Shot Object Navigation AAAI 2026 ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering ACL 2026 ChatCLIDS: Simulating Persuasive AI Dialogues to Promote Closed-Loop Insulin Adoption in Type 1 Diabetes Care AAAI 2026 ChipMind: Retrieval-Augmented Reasoning for Long-Context Circuit Design Specifications AAAI 2026 CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents ACL 2026 Closing the Spatial Execution Gap in Digital Whiteboards via Verifiable Reinforcement Learning ACL 2026 CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization AAAI 2026 Coding Agents with Multimodal Browsing are Generalist Problem Solvers EACL 2026 Co-EPG: A Framework for Co-Evolution of Planning and Grounding in Autonomous GUI Agents AAAI 2026 CoEvolve: Training LLM Agents via Agent-Data Mutual Evolution ACL 2026