WildClaw internlm/WildClawBench Benchmark • Updated Aug 15 • 9.7k • 73 WildClawBench: A Benchmark for Real-World, Long-Horizon Agent Evaluation Paper • 2605.10912 • Published May 11 • 38 ChrisDing1105/unified-agent-trajectories Viewer • Updated 2 days ago • 4.63k • 401 • 3
WildClawBench: A Benchmark for Real-World, Long-Horizon Agent Evaluation Paper • 2605.10912 • Published May 11 • 38
RNGBench [EMNLP2026] Beyond the Current Observation: Evaluating Multimodal Large Language Models in Controllable Non-Markov Games internlm/RNGBench-Game-Trajectories Viewer • Updated Jun 23 • 45.3k • 105 • 5 Beyond the Current Observation: Evaluating Multimodal Large Language Models in Controllable Non-Markov Games Paper • 2606.19338 • Published Jun 17 • 51
Beyond the Current Observation: Evaluating Multimodal Large Language Models in Controllable Non-Markov Games Paper • 2606.19338 • Published Jun 17 • 51
WildClaw internlm/WildClawBench Benchmark • Updated Aug 15 • 9.7k • 73 WildClawBench: A Benchmark for Real-World, Long-Horizon Agent Evaluation Paper • 2605.10912 • Published May 11 • 38 ChrisDing1105/unified-agent-trajectories Viewer • Updated 2 days ago • 4.63k • 401 • 3
WildClawBench: A Benchmark for Real-World, Long-Horizon Agent Evaluation Paper • 2605.10912 • Published May 11 • 38
RNGBench [EMNLP2026] Beyond the Current Observation: Evaluating Multimodal Large Language Models in Controllable Non-Markov Games internlm/RNGBench-Game-Trajectories Viewer • Updated Jun 23 • 45.3k • 105 • 5 Beyond the Current Observation: Evaluating Multimodal Large Language Models in Controllable Non-Markov Games Paper • 2606.19338 • Published Jun 17 • 51
Beyond the Current Observation: Evaluating Multimodal Large Language Models in Controllable Non-Markov Games Paper • 2606.19338 • Published Jun 17 • 51
