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TRIP-Bench: A benchmark for long-horizon interactive agents in real-world scenarios

2 Pith papers cite this work. Polarity classification is still indexing.

2 Pith papers citing it

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fields

cs.AI 1 cs.CL 1

years

2026 2

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UNVERDICTED 2

roles

background 1

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representative citing papers

AgentEscapeBench: Evaluating Out-of-Domain Tool-Grounded Reasoning in LLM Agents

cs.AI · 2026-05-08 · unverdicted · novelty 7.0 · 2 refs

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.

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Showing 2 of 2 citing papers.