---
title: "Yifan Gao — author profile and papers — Elamur Research"
description: "Yifan Gao, Amazon: 5 papers on Elamur Research (2023–2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/yifan-gao/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yifan-gao/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yifan Gao

# Yifan Gao

Yifan Gao has 5 papers in our library, in 2023–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/); often with [Bing Yin](https://md.research.elamur.ai/free/en/authors/bing-yin/), [Xian Li](https://md.research.elamur.ai/free/en/authors/xian-li/), [Xin Liu](https://md.research.elamur.ai/free/en/authors/xin-liu/).

5 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5139826592) · [**h-index 0**](https://openalex.org/authors/A5139826592) · [3 works](https://openalex.org/works?filter=author.id:A5139826592) · [0 citations](https://openalex.org/works?filter=author.id:A5139826592&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/yifan-gao/#papers) · [🔗 Cited 132 times in our library](https://md.research.elamur.ai/free/en/authors/yifan-gao/cited-by/) · [⭐ Paper Stars ranking: #6684](https://md.research.elamur.ai/free/en/paper-stars/page/67/#star-6684)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Yifan+Gao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yifan+Gao) · [dblp](https://dblp.org/search?q=Yifan+Gao) · [ACL Anthology](https://aclanthology.org/search/?q=Yifan+Gao)

## Affiliations

[🏢**Amazon** Seattle · United States 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/companies/amazon/)

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 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 5 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Latent semantic indexing · 1 work](https://md.research.elamur.ai/free/en/concepts/latent-semantic-indexing/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/yifan-gao/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yifan-gao/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yifan-gao/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[SCOTT: Self-Consistent Chain-of-Thought Distillation](https://md.research.elamur.ai/free/en/papers/wang-2023-scott-self-consistent-chain-thought/)** *(2023 · 146 citations)* Chain-of-thought (CoT) prompting helps only very large LMs, and the rationales these models produce often fail to support, or even contradict, their answers.
2. **[MEMORYLLM: Towards Self-Updatable Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2024-memoryllm-towards-self-updatable-large/)** *(2024 · 27 citations)* Large language models are usually frozen once deployed, which makes adding fresh knowledge difficult. Current workarounds each have drawbacks. Retrieval stores keep growing, fact-level editing struggles with longer passages, and long-context approaches eventually run out of context length. This paper proposes…
3. **[HyperAdaLoRA: Accelerating LoRA Rank Allocation During Training via Hypernetworks without Sacrificing Performance](https://md.research.elamur.ai/free/en/papers/zhang-2026-hyperadalora-accelerating-lora-rank-allocation/)** *(2026 · 5 citations)* AdaLoRA improves on LoRA by giving different weight matrices different ranks. It does this by expressing each update in SVD form (P, Λ, Q) and pruning unimportant singular values. The cost is slow convergence and heavy computation during training. HyperAdaLoRA addresses this. Instead of updating P, Λ and Q directly…
4. **[Agentic Conversational Search with Contextualized Reasoning via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/mo-2026-agentic-conversational-search-contextualized-reasoning/)** *(2026 · 2 citations)* Multi-turn conversational search is usually handled by a fixed "rewrite, retrieve, generate" chain of separately trained components.
5. **[SessionIntentBench: A Multi-task Inter-session Intention-shift Modeling Benchmark for E-commerce Customer Behavior Understanding](https://md.research.elamur.ai/free/en/papers/yang-2026-sessionintentbench-multi-task-inter-session/)** *(2026)* E-commerce services benefit from knowing what a shopper wants at a given moment. User profiles and purchase records are often missing, and earlier intention research covers only single or co-buy purchases, mostly using product titles and images. This paper models how preferences change step by step during a browsing…

## Co-authors here

12 of 38 co-authors with a page, the most papers together first.

- [Bing Yin](https://md.research.elamur.ai/free/en/authors/bing-yin/) ×2
- [Xian Li](https://md.research.elamur.ai/free/en/authors/xian-li/) ×2
- [Xin Liu](https://md.research.elamur.ai/free/en/authors/xin-liu/) ×2
- [Zheng Li](https://md.research.elamur.ai/free/en/authors/zheng-li/) ×2
- [Baixuan Xu](https://md.research.elamur.ai/free/en/authors/baixuan-xu/)
- [Bo Huang](https://md.research.elamur.ai/free/en/authors/bo-huang/)
- [Changlong Yu](https://md.research.elamur.ai/free/en/authors/changlong-yu/)
- [Chen Luo](https://md.research.elamur.ai/free/en/authors/chen-luo/)
- [Chunkit Chan](https://md.research.elamur.ai/free/en/authors/chunkit-chan/)
- [Dakuo Wang](https://md.research.elamur.ai/free/en/authors/dakuo-wang/)
- [Fengran Mo](https://md.research.elamur.ai/free/en/authors/fengran-mo/)
- [Hansi Zeng](https://md.research.elamur.ai/free/en/authors/hansi-zeng/)

## Venues

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

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×3: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×3
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2023](https://md.research.elamur.ai/free/en/venues/acl/2023/)

## Cited by

Papers of our library cite their works 132 times (of the 149,439 papers whose bibliographies we read); [33 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yifan-gao/cited-by/).

Updated 2 November 2026
