---
title: "Hanghang Tong — author profile and papers in our library"
description: "Hanghang Tong, University of Illinois Urbana-Champaign: 9 papers on Elamur Research (2024–2026), h-index 62 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/hanghang-tong/"
---
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# Hanghang Tong

Hanghang Tong has 9 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Jingrui He](https://md.research.elamur.ai/free/en/authors/jingrui-he/), [Tianxin Wei](https://md.research.elamur.ai/free/en/authors/tianxin-wei/), [Xuying Ning](https://md.research.elamur.ai/free/en/authors/xuying-ning/).

9 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5068043486) · [ORCID](https://orcid.org/0000-0003-4405-3887) · [Wikidata](https://www.wikidata.org/wiki/Q130839862) · [**h-index 62**](https://openalex.org/authors/A5068043486) · [559 works](https://openalex.org/works?filter=author.id:A5068043486) · [18,216 citations](https://openalex.org/works?filter=author.id:A5068043486&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 9 works in our library](https://md.research.elamur.ai/free/en/authors/hanghang-tong/#papers) · [🔗 Cited 159 times in our library](https://md.research.elamur.ai/free/en/authors/hanghang-tong/cited-by/) · [6 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6669](https://md.research.elamur.ai/free/en/paper-stars/page/67/#star-6669)

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

## Affiliations

[🎓**University of Illinois Urbana-Champaign** Urbana · United States 2019–2026 · 271 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**Arizona State University** Tempe · United States 2006–2019 · 121 papers](https://md.research.elamur.ai/free/en/universities/arizona-state-university/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2006–2023 · 25 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🏢**IBM** Armonk · United States 2011–2022 · 21 papers](https://md.research.elamur.ai/free/en/companies/ibm/) · [🔬**IBM Research - Thomas J. Watson Research Center** Yorktown Heights · United States 2011–2013 · 19 papers](https://md.research.elamur.ai/free/en/labs/ibm-research-thomas-j-watson-research-center/) · [🎓**Tsinghua University** Beijing · China 2004–2006 · 18 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**City College of New York** New York · United States 2013–2018 · 17 papers](https://ror.org/00wmhkr98) · [🎓**City University of New York** New York · United States 2013–2014 · 11 papers](https://md.research.elamur.ai/free/en/universities/city-university-of-new-york/) · [🎓**University of Illinois System** Urbana · United States 2021–2022 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-illinois-system/) · [🎓**Columbia University** New York · United States 2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/columbia-university/)

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.

📚 Shelves 9 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 9 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 9 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 9 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 9 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 5 works](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/) · [History and Philosophy of Science · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/history-and-philosophy-of-science/) · [Physics and Astronomy · 1 work](https://md.research.elamur.ai/free/en/shelves/physics-and-astronomy/) · [Statistical and Nonlinear Physics · 1 work](https://md.research.elamur.ai/free/en/shelves/physics-and-astronomy/statistical-and-nonlinear-physics/)

🧭 Topics 5 Research subjects and languages the work is about.[Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 2 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/)

## Works by year

### 2020s

[**2026** 6 papers](https://md.research.elamur.ai/free/en/authors/hanghang-tong/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/hanghang-tong/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/hanghang-tong/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?](https://md.research.elamur.ai/free/en/papers/wang-2024-rethinking-bounds-llm-reasoning/)** *(2024 · 107 citations)* Earlier work suggests that LLM agents discussing a problem together reason better than a single model. This paper tests that claim more rigorously. The authors define a general pipeline for designing discussion frameworks with four parts: kick-start prompt, agents, algorithm and result. They also introduce CMD…
2. **[RM-R1: Reward Modeling as Reasoning](https://md.research.elamur.ai/free/en/papers/chen-2025-rm-r1-reward-modeling-reasoning/)** *(2025 · 49 citations)* Reward models guide the alignment of LLMs, but each existing family has a weakness. Scalar RMs give no justification for their scores. Generative RMs explain their verdicts, yet their reasoning is often shallow. The authors treat preference judgment as a reasoning problem and introduce Reasoning Reward Models…
3. **[SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence](https://md.research.elamur.ai/free/en/papers/liu-2025-selfelicit-your-language-model-secretly/)** *(2025 · 11 citations)* Supplying a language model with evidence passages, whether retrieved or user-provided, should make its answers better grounded.
4. **[Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents](https://md.research.elamur.ai/free/en/papers/bei-2026-mem-gallery-benchmarking-multimodal-long/)** *(2026 · 6 citations)* Agents built on multimodal large language models (MLLMs) need to remember what users show and tell them over many conversations.
5. **[dLLM: Simple Diffusion Language Modeling](https://md.research.elamur.ai/free/en/papers/zhou-2026-dllm-simple-diffusion-language-modeling/)** *(2026 · 3 citations)* Diffusion language models (DLMs) are a growing alternative to autoregressive generation, but each open model tends to ship with its own one-off code.
6. **[Harnessing Consistency for Robust Test-Time LLM Ensemble](https://md.research.elamur.ai/free/en/papers/zeng-2026-harnessing-consistency-robust-test-time/)** *(2026 · 2 citations)* Test-time ensembles of large language models aim to combine the complementary strengths of different LLMs.
7. **[PAPERMIND: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs](https://md.research.elamur.ai/free/en/papers/zhao-2026-papermind-benchmarking-agentic-reasoning-critique/)** *(2026 · 2 citations)* PaperMind is a benchmark for testing whether multimodal LLMs can reason about scientific papers in an integrated, agent-like way.
8. **[Prune as You Generate: Online Rollout Pruning for Faster and Better RLVR](https://md.research.elamur.ai/free/en/papers/xu-2026-prune-as-you-generate-online/)** *(2026 · 2 citations)* RLVR methods such as GRPO and DAPO are expensive because they sample many rollouts per prompt. Their learning signal is also often weak: when a group's rewards are almost all correct or almost all wrong, group-normalized advantages approach zero. The authors propose ARRoL (Accelerating RLVR via online RoLlout…
9. **[How to Make LMs Strong Node Classifiers?](https://md.research.elamur.ai/free/en/papers/xu-2026-how-make-lms-strong-node/)** *(2026)* The paper asks whether standard, instruction-tuned text-to-text LMs can classify nodes in Text-Attributed Graphs (TAGs) as well as specialized graph models, without changing the LM's architecture.

## All works

15 works of theirs in our library, the most cited first; 9 with a page here, the others link their original until we summarise them.

1. **[Graph Vulnerability and Robustness: A Survey ↗](https://doi.org/10.1109/tkde.2022.3163672) IEEE Transactions on Knowledge and Data Engineering · no summary yet**Scott Freitas et al.*2022 · 122 citations*
2. **[Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?](https://md.research.elamur.ai/free/en/papers/wang-2024-rethinking-bounds-llm-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qineng Wang, Zihao Wang, Ying Su, et al.*2024 · 107 citations*
3. **[Dynamic Knowledge Graph Alignment ↗](https://doi.org/10.1609/aaai.v35i5.16585) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Yuchen Yan et al.*2021 · 82 citations*
4. [**RM-R1: Reward Modeling as Reasoning arXiv:2505.02387**Xiusi Chen, Gaotang Li, Ziqi Wang, et al.*2025 · 49 citations*](https://md.research.elamur.ai/free/en/papers/chen-2025-rm-r1-reward-modeling-reasoning/)
5. **[GMine: A System for Scalable, Interactive Graph Visualization and Mining ↗](https://arxiv.org/abs/1506.03847) arXiv (Cornell University) · no summary yet**Jose Fernando Rodrigues Junior et al.*2015 · 42 citations*
6. **[Event Time Extraction and Propagation via Graph Attention Networks ↗](https://aclanthology.org/2021.naacl-main.6/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Haoyang Wen et al.*2021 · 27 citations*
7. **[GENE: Global Event Network Embedding ↗](https://aclanthology.org/2021.textgraphs-1.5/) Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-15) · no summary yet**Qi Zeng et al.*2021 · 12 citations*
8. **[SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence](https://md.research.elamur.ai/free/en/papers/liu-2025-selfelicit-your-language-model-secretly/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhining Liu, Rana Ali Amjad, Ravinarayana Adkathimar, et al.*2025 · 11 citations*
9. **[Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents](https://md.research.elamur.ai/free/en/papers/bei-2026-mem-gallery-benchmarking-multimodal-long/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuanchen Bei, Tianxin Wei, Xuying Ning, et al.*2026 · 6 citations*
10. **[dLLM: Simple Diffusion Language Modeling](https://md.research.elamur.ai/free/en/papers/zhou-2026-dllm-simple-diffusion-language-modeling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhanhui Zhou, Lingjie Chen, Hanghang Tong, et al.*2026 · 3 citations*
11. **[Harnessing Consistency for Robust Test-Time LLM Ensemble](https://md.research.elamur.ai/free/en/papers/zeng-2026-harnessing-consistency-robust-test-time/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhichen Zeng, Qi Yu, Xiao Lin, et al.*2026 · 2 citations*
12. **[PAPERMIND: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs](https://md.research.elamur.ai/free/en/papers/zhao-2026-papermind-benchmarking-agentic-reasoning-critique/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yanjun Zhao, Tianxin Wei, Jiaru Zou, et al.*2026 · 2 citations*
13. **[Prune as You Generate: Online Rollout Pruning for Faster and Better RLVR](https://md.research.elamur.ai/free/en/papers/xu-2026-prune-as-you-generate-online/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haobo Xu, Sirui Chen, Ruizhong Qiu, et al.*2026 · 2 citations*
14. **[How to Make LMs Strong Node Classifiers?](https://md.research.elamur.ai/free/en/papers/xu-2026-how-make-lms-strong-node/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhe Xu, Kaveh Hassani, Si Zhang, et al.*2026*
15. **[A Hands-on Tutorial for Diffusion Language Models with dLLM ↗](https://doi.org/10.1145/3770855.3816476) ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Zhanhui Zhou et al.*2026*

## Co-authors here

12 of 36 co-authors with a page, the most papers together first.

- [Jingrui He](https://md.research.elamur.ai/free/en/authors/jingrui-he/) ×4
- [Tianxin Wei](https://md.research.elamur.ai/free/en/authors/tianxin-wei/) ×4
- [Xuying Ning](https://md.research.elamur.ai/free/en/authors/xuying-ning/) ×3
- [Lingjie Chen](https://md.research.elamur.ai/free/en/authors/lingjie-chen/) ×2
- [Ruizhong Qiu](https://md.research.elamur.ai/free/en/authors/ruizhong-qiu/) ×2
- [Xiao Lin](https://md.research.elamur.ai/free/en/authors/xiao-lin/) ×2
- [Yanjun Zhao](https://md.research.elamur.ai/free/en/authors/yanjun-zhao/) ×2
- [Yuanchen Bei](https://md.research.elamur.ai/free/en/authors/yuanchen-bei/) ×2
- [Yuchen Yan](https://md.research.elamur.ai/free/en/authors/yuchen-yan/) ×2
- [Zhining Liu](https://md.research.elamur.ai/free/en/authors/zhining-liu/) ×2
- [Bowen Jin](https://md.research.elamur.ai/free/en/authors/bowen-jin/)
- [Chen Luo](https://md.research.elamur.ai/free/en/authors/chen-luo/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×5: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×3, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/), [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/)
- [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
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
- IEEE Transactions on Knowledge and Data Engineering
- Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Proceedings of the AAAI Conference on Artificial Intelligence
- Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-15)

## Cited by

Papers of our library cite their works 159 times (of the 149,439 papers whose bibliographies we read); [49 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/hanghang-tong/cited-by/).

Updated 2 November 2026