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Jingrui He

Jingrui He has 6 papers in our library, in 2026, most of them on Language models & pretraining, Vision & language, Dialogue systems; often with Hanghang Tong, Tianxin Wei, Xuying Ning.

6 papers in our library · 2026

OpenAlex · h-index 5 · 14 works · 63 citations OpenAlex, 2026-10-14

📄 6 works in our library · 🔗 Cited 14 times in our library · ⭐ Paper Stars ranking: #10635

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents (2026 · 6 citations)
    Agents built on multimodal large language models (MLLMs) need to remember what users show and tell them over many conversations.
  2. RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking (2026 · 3 citations)
    Many real questions can only be answered by combining facts spread over several tables, yet RAG systems mostly target plain text, and realistic benchmarks for multi-table retrieval are scarce.
  3. Harnessing Consistency for Robust Test-Time LLM Ensemble (2026 · 2 citations)
    Test-time ensembles of large language models aim to combine the complementary strengths of different LLMs.
  4. PAPERMIND: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs (2026 · 2 citations)
    PaperMind is a benchmark for testing whether multimodal LLMs can reason about scientific papers in an integrated, agent-like way.
  5. Prune as You Generate: Online Rollout Pruning for Faster and Better RLVR (2026 · 2 citations)
    RLVR methods such as GRPO and DAPO are expensive because they sample many rollouts per prompt. Their learning signal is also often weak: when a group's rewards are almost all correct or almost all wrong, group-normalized advantages approach zero. The authors propose ARRoL (Accelerating RLVR via online RoLlout…
  6. Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks (2026)
    Copyright Detective is an interactive forensic tool for collecting evidence that LLMs may reproduce copyrighted material.

 Co-authors here

12 of 28 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 14 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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