---
title: "Hao Liang · Peking University — author profile and papers"
description: "Hao Liang, Peking University: 6 papers on Elamur Research (2025–2026), h-index 0 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/hao-liang/"
---
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# Hao Liang

Hao Liang has 6 papers in our library, in 2025–2026, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Wentao Zhang](https://md.research.elamur.ai/free/en/authors/wentao-zhang/), [Bihui Yu](https://md.research.elamur.ai/free/en/authors/bihui-yu/), [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/).

6 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5139822925) · [**h-index 0**](https://openalex.org/authors/A5139822925) · [5 works](https://openalex.org/works?filter=author.id:A5139822925) · [0 citations](https://openalex.org/works?filter=author.id:A5139822925&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 6 works in our library](https://md.research.elamur.ai/free/en/authors/hao-liang/#papers) · [🔗 Cited 45 times in our library](https://md.research.elamur.ai/free/en/authors/hao-liang/cited-by/) · [⭐ Paper Stars ranking: #7787](https://md.research.elamur.ai/free/en/paper-stars/page/78/#star-7787)

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=Hao+Liang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hao+Liang) · [dblp](https://dblp.org/search?q=Hao+Liang) · [ACL Anthology](https://aclanthology.org/search/?q=Hao+Liang)

## Affiliations

[🎓**Peking University** Beijing · China 2025–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/)

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

🧭 Topics 7 Research subjects and languages the work is about.[Evaluation & benchmarks · 3 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Semantic parsing & meaning representation · 1 work](https://md.research.elamur.ai/free/en/topics/semantic-parsing/)

## Works by year

### 2020s

[**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/hao-liang/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/hao-liang/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[CFBench: A Comprehensive Constraints-Following Benchmark for LLMs](https://md.research.elamur.ai/free/en/papers/zhang-2025-cfbench-comprehensive-constraints-following-benchmark/)** *(2025 · 30 citations)* CFBench tackles a gap in how LLMs are tested on following instructions that carry many explicit constraints.
2. **[MM-Verify: Enhancing Multimodal Reasoning with Chain-of-Thought Verification](https://md.research.elamur.ai/free/en/papers/sun-2025-mm-verify-enhancing-multimodal-reasoning/)** *(2025 · 19 citations)* The paper targets two gaps in multimodal math reasoning. There is no strong verifier for checking answers from multimodal LLMs, and there is little long chain-of-thought (CoT) training data with images. The authors build two 7B models. MM-Verifier is an outcome reward model that judges whether a solution to an…
3. **[AgenticRAGTracer: A Hop-Aware Benchmark for Diagnosing Multi-Step Retrieval Reasoning in Agentic RAG](https://md.research.elamur.ai/free/en/papers/you-2026-agenticragtracer-hop-aware-benchmark-diagnosing/)** *(2026 · 1 citation)* Popular multi-hop QA benchmarks such as HotpotQA, 2WikiMultihopQA and MuSiQue give only a question and its final answer.
4. **[MorphoBench: A Benchmark with Difficulty Adaptive to Model Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-morphobench-benchmark-difficulty-adaptive-model/)** *(2026)* Static reasoning benchmarks quickly become too easy for frontier models. Many also reward recall of rare facts rather than logical inference. MorphoBench addresses this with a multidisciplinary benchmark whose difficulty can be tuned to the models being tested.
5. **[Rethinking Text-to-SQL: Dynamic Multi-turn SQL Interaction for Real-world Database Exploration](https://md.research.elamur.ai/free/en/papers/sun-2026-rethinking-text-sql-dynamic-multi/)** *(2026)* Most Text-to-SQL benchmarks test one-shot translation of a fixed question into a read-only query. Real database work is different: users refine goals over several turns and often need to change data, not just read it. The authors introduce DySQL-Bench to evaluate LLM agents in this setting. It contains 1,072…
6. **[Training Verifier to Assessing Complex Real-World Tool-Use Trajectories](https://md.research.elamur.ai/free/en/papers/sun-2026-training-verifier-assessing-complex-real/)** *(2026)* LLM agents that handle multi-turn customer-service style tasks need training dialogues that reflect real user–agent collaboration.

## Co-authors here

12 of 18 co-authors with a page, the most papers together first.

- [Wentao Zhang](https://md.research.elamur.ai/free/en/authors/wentao-zhang/) ×4
- [Bihui Yu](https://md.research.elamur.ai/free/en/authors/bihui-yu/) ×3
- [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/) ×3
- [Jingxuan Wei](https://md.research.elamur.ai/free/en/authors/jingxuan-wei/) ×3
- [Linzhuang Sun](https://md.research.elamur.ai/free/en/authors/linzhuang-sun/) ×3
- [Bin Cui](https://md.research.elamur.ai/free/en/authors/bin-cui/) ×2
- [Tianpeng Li](https://md.research.elamur.ai/free/en/authors/tianpeng-li/) ×2
- [Tianyu Guo](https://md.research.elamur.ai/free/en/authors/tianyu-guo/) ×2
- [Chenzheng Zhu](https://md.research.elamur.ai/free/en/authors/chenzheng-zhu/)
- [Junbo Niu](https://md.research.elamur.ai/free/en/authors/junbo-niu/)
- [Mingan Lin](https://md.research.elamur.ai/free/en/authors/mingan-lin/)
- [Mingrui Chen](https://md.research.elamur.ai/free/en/authors/mingrui-chen/)

## 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/) ×4: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×4
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2

## Cited by

Papers of our library cite their works 45 times (of the 149,439 papers whose bibliographies we read); [16 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/hao-liang/cited-by/).

Updated 1 November 2026
