PlanBench-XL: Evaluating Long-Horizon Planning of LLM Tool-Use Agents in Large-Scale Tool Ecosystems
Paper • 2606.22388 • Published • 81
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Natural Language Processing
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Brick-Composer: Using MLLMs for Assembly with Diverse BricksOrganizations
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Context Engineering for Trustworthiness: Rescorla Wagner Steering Under Mixed and Inappropriate Contexts
Paper • 2509.04500 • Published • 5
EscapeBench: Towards Advancing Creative Intelligence of Language Model Agents
Paper • 2412.13549 • Published
The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning
Paper • 2406.11721 • Published
Self-Improving LLM Agents at Test-Time
Paper • 2510.07841 • Published • 10
Atomic Reasoning for Scientific Table Claim Verification
Paper • 2506.06972 • Published
ShortageSim: Simulating Drug Shortages under Information Asymmetry
Paper • 2509.01813 • Published
xRouter: Training Cost-Aware LLMs Orchestration System via Reinforcement Learning
Paper • 2510.08439 • Published • 1
CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agents
Paper • 2511.02734 • Published • 23
LoCoBench-Agent: An Interactive Benchmark for LLM Agents in Long-Context Software Engineering
Paper • 2511.13998 • Published • 3
JustRL: Scaling a 1.5B LLM with a Simple RL Recipe
Paper • 2512.16649 • Published • 31
From Word to World: Can Large Language Models be Implicit Text-based World Models?
Paper • 2512.18832 • Published • 15
Geometric-Disentangelment Unlearning
Paper • 2511.17100 • Published
ISACL: Internal State Analyzer for Copyrighted Training Data Leakage
Paper • 2508.17767 • Published • 1
Agentic Reasoning for Large Language Models
Paper • 2601.12538 • Published • 207
Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMs
Paper • 2602.07276 • Published • 11
Tool-R0: Self-Evolving LLM Agents for Tool-Learning from Zero Data
Paper • 2602.21320 • Published • 12
How Far Can Unsupervised RLVR Scale LLM Training?
Paper • 2603.08660 • Published • 60