most citedDeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents

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cs.CL2026

When Your Agent Opens the Chat App: Agent-Controlled Search over Raw Chat Logs Rivals Structured Memory

Ruizhe Li, Licheng Zhang, Benfeng Xu +3

Agent-memory systems increasingly buy retrieval quality with structure, transforming raw conversation histories into summaries, embeddings, trees, or knowledge graphs before any qu…

cs.CL2026

Beyond Borrowed Histories: Person-Aligned User Simulation for Interactive Role-Playing Evaluation

Yuhang Zhu, Mingxuan Du, Benfeng Xu +3

Role-playing agents (RPAs) have become one of the most important consumer applications of large language models. Users engage in multi-turn conversations with RPAs for experiences…

cs.CL2026

Keep It InMind: Benchmarking the Implicit-Association Blind Spot in Agent Memory

Ruizhe Li, Mingxuan Du, Benfeng Xu +1

Long-term memory systems store what a user says in an external store and retrieve it when a related query arrives. This interface rests on an assumption so natural that it is rarel…

cs.CL2026

A-RAG: Scaling Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces

Mingxuan Du, Benfeng Xu, Chiwei Zhu +4

Frontier language models have demonstrated strong reasoning and long-horizon tool-use capabilities. However, existing RAG systems fail to leverage these capabilities. They still re…

cs.CL2026

WildGraphBench: Benchmarking GraphRAG with Wild-Source Corpora

Pengyu Wang, Benfeng Xu, Licheng Zhang +4

Graph-based Retrieval-Augmented Generation (GraphRAG) organizes external knowledge as a hierarchical graph, enabling efficient retrieval and aggregation of scattered evidence acros…

cs.CL2026

Wiki Live Challenge: Challenging Deep Research Agents with Expert-Level Wikipedia Articles

Shaohan Wang, Benfeng Xu, Licheng Zhang +5

Deep Research Agents (DRAs) have demonstrated remarkable capabilities in autonomous information retrieval and report generation, showing great potential to assist humans in complex…