🧑‍🔬 Hanghang Tong

🏛️ Affiliations

🎓University of Illinois Urbana-ChampaignUrbana · United States2019–2026 · 271 paperscurrent🎓Arizona State UniversityTempe · United States2006–2019 · 121 papers🎓Carnegie Mellon UniversityPittsburgh · United States2006–2023 · 25 papers🏢IBMArmonk · United States2011–2022 · 21 papers🔬IBM Research - Thomas J. Watson Research CenterYorktown Heights · United States2011–2013 · 19 papers🎓Tsinghua UniversityBeijing · China2004–2006 · 18 papers🎓City College of New YorkNew York · United States2013–2018 · 17 papers🎓City University of New YorkNew York · United States2013–2014 · 11 papers🎓University of Illinois SystemUrbana · United States2021–2022 · 3 papers🎓Columbia UniversityNew York · United States2025 · 2 papers

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. RM-R1: Reward Modeling as 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…
2. SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence (2025 · 11 citations)
   Supplying a language model with evidence passages, whether retrieved or user-provided, should make its answers better grounded.
3. Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents (2026 · 6 citations)
   Agents built on multimodal large language models (MLLMs) need to remember what users show and tell them over many conversations.
4. 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.
5. Harnessing Consistency for Robust Test-Time LLM Ensemble (2026 · 2 citations)
   Test-time ensembles of large language models aim to combine the complementary strengths of different LLMs.
6. PAPERMIND: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs (2026 · 2 citations)
   PaperMind is a benchmark for testing whether multimodal LLMs can reason about scientific papers in an integrated, agent-like way.
7. Prune as You Generate: Online Rollout Pruning for Faster and Better RLVR (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…

All works

15 works of theirs in our library, the most cited first; 7 with a page here, the others link their original until we summarise them.

1. Graph Vulnerability and Robustness: A Survey ↗IEEE Transactions on Knowledge and Data Engineering · no summary yetScott Freitas et al.2022 · 122 citations
2. Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key? ↗arXiv:2402.18272 · no summary yetQineng Wang et al.2024 · 107 citations
3. Dynamic Knowledge Graph Alignment ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetYuchen Yan et al.2021 · 82 citations
4. RM-R1: Reward Modeling as ReasoningarXiv:2505.02387Xiusi Chen, Gaotang Li, Ziqi Wang, et al.2025 · 49 citations
5. GMine: A System for Scalable, Interactive Graph Visualization and Mining ↗arXiv (Cornell University) · no summary yetJose Fernando Rodrigues Junior et al.2015 · 42 citations
6. Event Time Extraction and Propagation via Graph Attention Networks ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetHaoyang Wen et al.2021 · 27 citations
7. GENE: Global Event Network Embedding ↗Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-15) · no summary yetQi Zeng et al.2021 · 12 citations
8. SelfElicit: Your Language Model Secretly Knows Where is the Relevant EvidenceAnnual Meeting of the Association for Computational Linguistics (ACL)Zhining Liu, Rana Ali Amjad, Ravinarayana Adkathimar, et al.2025 · 11 citations
9. Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanchen Bei, Tianxin Wei, Xuying Ning, et al.2026 · 6 citations
10. dLLM: Simple Diffusion Language ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Zhanhui Zhou, Lingjie Chen, Hanghang Tong, et al.2026 · 3 citations
11. Harnessing Consistency for Robust Test-Time LLM EnsembleFindings of the Association for Computational LinguisticsZhichen Zeng, Qi Yu, Xiao Lin, et al.2026 · 2 citations
12. PAPERMIND: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMsFindings of the Association for Computational LinguisticsYanjun Zhao, Tianxin Wei, Jiaru Zou, et al.2026 · 2 citations
13. Prune as You Generate: Online Rollout Pruning for Faster and Better RLVRAnnual Meeting of the Association for Computational Linguistics (ACL)Haobo Xu, Sirui Chen, Ruizhong Qiu, et al.2026 · 2 citations
14. How to Make LMs Strong Node Classifiers? ↗Findings of the Association for Computational Linguistics: EACL 2026 · no summary yetZhe Xu et al.2026
15. A Hands-on Tutorial for Diffusion Language Models with dLLM ↗ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetZhanhui Zhou et al.2026

🤝 Co-authors here

12 of 27 co-authors with a page, the most papers together first.

• Jingrui He ×4
• Tianxin Wei ×4
• Xuying Ning ×3
• Lingjie Chen ×2
• Ruizhong Qiu ×2
• Xiao Lin ×2
• Yanjun Zhao ×2
• Yuanchen Bei ×2
• Yuchen Yan ×2
• Zhining Liu ×2
• Bowen Jin
• 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) ×4: ACL 2026 ×3, ACL 2025
• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2
• ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
• Findings of the Association for Computational Linguistics: EACL 2026
• 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); 37 citing papers with a page here →.

Updated 31 October 2026

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