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Long Le

Long Le has 3 papers in our library, in 2024–2025, most of them on Dialogue systems, Reasoning; often with Zifeng Wang, Chen-Yu Lee, Rujun Han.

3 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 9 · 34 works · 738 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 128 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #6782

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.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksComputer Science · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Dialogue systems · 1 workReasoning · 1 work

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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…
  3. PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving (2025 · 16 citations)
    LLM-based agents and test-time search methods often fail on "natural planning" tasks, such as scheduling meetings or planning trips described in plain language.

All works

6 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetCheng-Yu Hsieh et al.2024 · 61 citations
  2. Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved SamplingarXiv:2410.11325Wenda Xu, Rujun Han, Zifeng Wang, et al.2024 · 41 citations
  3. Reverse Thinking Makes LLMs Stronger Reasoners ↗Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetJustin Chen et al.2025 · 18 citations
  4. VEPA: Verified Evolving Formal Policy for Lifelong LLM Agent Guardrails ↗arXiv (Cornell University) · no summary yetDuy Nguyen et al.2026

 Co-authors here

12 of 21 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 128 times (of the 149,439 papers whose bibliographies we read); 34 citing papers with a page here →.

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