activity
20242026
collaborators

5 papers

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

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

DeepResearch Bench II: Diagnosing Deep Research Agents via Rubrics from Expert Reports

Ruizhe Li, Mingxuan Du, Benfeng Xu +3

Deep Research Agents (DRA) aim to help users search the web, synthesize information, and deliver comprehensive investigative reports. Prior benchmarks often either under-evaluate a…

cs.CL2025

Automated Creativity Evaluation for Large Language Models: A Reference-Based Approach

Ruizhe Li, Chiwei Zhu, Benfeng Xu +2

Creative writing is a key capability of Large Language Models (LLMs), with potential applications in literature, storytelling, and various creative domains. However, evaluating the…

cs.IR2024

Reformulating Conversational Recommender Systems as Tri-Phase Offline Policy Learning

Gangyi Zhang, Chongming Gao, Hang Pan +2

Existing Conversational Recommender Systems (CRS) predominantly utilize user simulators for training and evaluating recommendation policies. These simulators often oversimplify the…