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Rujun Han

Rujun Han has 4 papers in our library, in 2020–2026, most of them on Question answering, Dialogue systems, Reasoning; often with Long Le, Zifeng Wang, Chen-Yu Lee.

4 papers in our library · 2020–2026

OpenAlex · h-index 11 · 30 works · 532 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 338 times in our library · 7 more in our library without a page yet · ⭐ Paper Stars ranking: #5359

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. 4 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. TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions (2020 · 152 citations)
    TORQUE asks temporal relations as reading-comprehension questions instead of labelling event pairs with Allen-style relations.
  2. In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents (2025 · 46 citations)
    LLM dialogue agents keep no state between sessions, so long-term personalization depends on external memory.
  3. Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling (2024 · 41 citations)
    Distilling a large language model into a smaller one runs into two failure modes. Supervised KD trains on a fixed set of outputs, so it never sees the kind of text the student produces at inference time. On-policy KD trains on the student's own generations, but early on these are often poor and unfamiliar to the…
  4. COMPASS: Enhancing Agent Long-Horizon Reasoning with Evolving Context (2026 · 1 citation)
    LLM agents often fail on long-horizon tasks that need many chained tool calls. Small mistakes pile up, and as the history grows the agent misses key evidence, gets distracted, or stops too early instead of changing its plan. The authors argue that context management is the main obstacle. They propose COMPASS, a…

All works

11 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetRujun Han, Qiang Ning, Nanyun Peng2019 · 185 citations
  2. TORQUE: A Reading Comprehension Dataset of Temporal Ordering QuestionsQiang Ning, Hao Wu, Rujun Han, et al.English · 152 citations
  3. Deep Structured Neural Network for Event Temporal Relation Extraction ↗Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL) · no summary yetRujun Han et al.2019 · 94 citations
  4. ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetRujun Han et al.2021 · 57 citations
  5. Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved SamplingarXiv:2410.11325Wenda Xu, Rujun Han, Zifeng Wang, et al.2024 · 41 citations
  6. ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning ↗arXiv:2012.15283 · no summary yetRujun Han, Xiang Ren, Nanyun Peng2020 · 39 citations
  7. RobustQA: Benchmarking the Robustness of Domain Adaptation for Open-Domain Question Answering ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetRujun Han et al.2023 · 18 citations
  8. Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetRujun Han et al.2018 · 12 citations
  9. ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation Reasoning ↗arXiv (Cornell University) · no summary yetRujun Han et al.2021 · 11 citations

 Co-authors here

12 of 22 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 338 times (of the 149,439 papers whose bibliographies we read); 36 citing papers with a page here →.

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