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Haoran Sun

Haoran Sun has 5 papers in our library, in 2024–2026, most of them on Language models & pretraining, Reasoning; often with Shaoning Zeng, Zekun Zhang, Kiyoaki Shirai.

5 papers in our library · 2024–2026

OpenAlex · h-index 0 · 2 works · 0 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 45 times in our library · ⭐ Paper Stars ranking: #7735

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

🎓Japan Advanced Institute of Science and TechnologyNomi Shi · Japan2026 · 1 papercurrent🎓University of Electronic Science and Technology of ChinaChengdu · China2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 5 worksArts and Humanities · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 2 works

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 1 work

 Works by year

2020s

20264 papers20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models (2024 · 40 citations)
    Open-source LLMs often fail when a prompt stacks several detailed requirements, such as exact counts, formats, or content restrictions.
  2. H-MEM: Hierarchical Memory for High-Efficiency Long-Term Reasoning in LLM Agents (2026 · 8 citations)
    LLM agents in long conversations must draw on past interactions, but common memory designs fall short. Flat vector stores such as MemoryBank compare each query against every stored entry, so cost grows quickly as memory accumulates, and graph-style memories are hard to keep consistent. H-MEM addresses this by…
  3. Preference-Aware Memory Update for Long-Term LLM Agents (2026 · 4 citations)
    Long-running LLM agents usually rely on memory systems such as MemoryBank, MemGPT, MemInsight or A-MEM. These systems mostly improve how memory is stored and retrieved. They pay little attention to keeping memory current as a user's preferences change over time. The authors propose PAMU (Preference-Aware Memory…
  4. A Dual-Phase Self-Evolution Framework for Large Language Models (2026)
    Post-training methods such as preference optimization or memory-augmented prompting help LLMs match user expectations, but they leave the model's underlying domain knowledge mostly unchanged.
  5. Visual and Memory–Augmented Soccer Commentary Generation (2026)
    Soccer commentary generation models are usually trained on short clips paired with a single brief live-text sentence of about 24 words.

 Co-authors here

4 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 45 times (of the 149,439 papers whose bibliographies we read); 19 citing papers with a page here →.

Updated

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