TransitLM is a large-scale dataset and benchmark for training LLMs to generate structurally valid map-free transit routes from origin-destination pairs.
TRIP-Bench: A benchmark for long-horizon interactive agents in real-world scenarios
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AgentEscapeBench is a benchmark of 270 tasks across five difficulty tiers that measures LLM agents' ability to manage long-range tool dependencies, state tracking, and intermediate result propagation, revealing sharp performance drops with increasing depth.
citing papers explorer
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TransitLM: A Large-Scale Dataset and Benchmark for Map-Free Transit Route Generation
TransitLM is a large-scale dataset and benchmark for training LLMs to generate structurally valid map-free transit routes from origin-destination pairs.
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AgentEscapeBench: Evaluating Out-of-Domain Tool-Grounded Reasoning in LLM Agents
AgentEscapeBench is a benchmark of 270 tasks across five difficulty tiers that measures LLM agents' ability to manage long-range tool dependencies, state tracking, and intermediate result propagation, revealing sharp performance drops with increasing depth.