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Zhengyuan Wang

2 accepted papers

2026

TRIP-Bench: A Benchmark for Long-Horizon Interactive Agents in Real-World Scenarios

ICML 2026poster

As LLM-based agents are deployed in increasingly complex real-world settings, existing benchmarks underrepresent key challenges such as enforcing global constraints, coordinating multi-tool reasoning, and adapting to evolving user behavior over long, multi-turn interactions. To bridge this gap, we i…

Cited by 0SourceScholar
2024

Searching for Best Practices in Retrieval-Augmented Generation

EMNLP 2024main

Retrieval-augmented generation (RAG) techniques have proven to be effective in integrating up-to-date information, mitigating hallucinations, and enhancing response quality, particularly in specialized domains. While many RAG approaches have been proposed to enhance large language models through que…