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Shangbin Feng

Shangbin Feng has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Yulia Tsvetkov, Chan Young Park, Pang Wei Koh.

2 papers in our library · 2023–2024

OpenAlex · ORCID · Wikidata · h-index 18 · 79 works · 1,424 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 428 citations in our library · 9 more in our library without a page yet · ⭐ Paper Star rank #3846

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

🎓University of WashingtonSeattle · United States2021–2026 · 52 paperscurrent🏢MicrosoftRedmond · United States2026 · 1 papercurrent🎓Xi'an Jiaotong UniversityXi'an · China2021–2023 · 13 papers🔬Allen Institute for Artificial IntelligenceSeattle · United States2023–2024 · 3 papers🎓Tsinghua UniversityBeijing · China2022–2023 · 3 papers🎓University of VirginiaCharlottesville · United States2022–2023 · 3 papers🎓University of Technology SydneySydney · Australia2021–2022 · 3 papers🎓Carnegie Mellon UniversityPittsburgh · United States2023–2024 · 2 papers🎓University of California San DiegoSan Diego · United States2022 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 7 Computer Science · 2 works Artificial Intelligence · 2 works Safety Research · 1 work Social Sciences · 1 work Medicine · 1 work Computer Vision and Pattern Recognition · 1 work Health Informatics · 1 work

🧭 Topics 4 Bias, fairness & safety · 1 work Language models & pretraining · 1 work Evaluation & benchmarks · 1 work Reasoning · 1 work

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models (2023 · 306 citations)
    Large language models absorb text from news, forums, books and encyclopedias, and much of that text carries political opinions.
  2. MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning (2024 · 70 citations)
    Most medical QA benchmarks give the model the whole case at once. Real consultations are different: patients often leave out details, and a clinician has to ask follow-up questions before deciding. The authors argue that LLMs are tuned to answer no matter what, which makes them unreliable when the context is…

All works

11 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP ModelsShangbin Feng, Chan Young Park, Yuhan Liu, et al.Annual Meeting of the Association for… · 306 citations
  2. Can Language Models Solve Graph Problems in Natural Language? (original ↗)Heng Wang et al.2023 · arXiv:2305.10037 · 120 citations · no summary yet
  3. MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical ReasoningShuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, et al.Conference on Neural Information Processing… · 70 citations
  4. Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration (original ↗)Shangbin Feng et al.2024 · Proceedings of the 2024 Conference on Empirical… · 63 citations · no summary yet
  5. Resolving Knowledge Conflicts in Large Language Models (original ↗)Yike Wang et al.2023 · arXiv:2310.00935 · 47 citations · no summary yet
  6. Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models (original ↗)Shangbin Feng et al.2023 · arXiv:2305.09955 · 32 citations · no summary yet
  7. Biased LLMs can Influence Political Decision-Making (original ↗)Jillian Fisher et al.2025 · Proceedings of the 63rd Annual Meeting of the… · 20 citations · no summary yet
  8. When One LLM Drools, Multi-LLM Collaboration Rules (original ↗)Shangbin Feng et al.2026 · Proceedings of the 64th Annual Meeting of the… · 9 citations · no summary yet
  9. Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection (original ↗)Yuwei Zhang et al.2026 · Proceedings of the 64th Annual Meeting of the… · 2 citations · no summary yet
  10. Legislator Representation Learning with Social Context and Expert Knowledge (original ↗)Shangbin Feng et al.2021 · arXiv:2108.03881 · 2 citations · no summary yet
  11. Generalizable LLM Learning of Graph Synthetic Data with Post-training Alignment (original ↗)Yizhuo Zhang et al.2026 · Findings of the Association for Computational… · no summary yet

 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 428 times (of the 141,840 papers whose bibliographies we read); 19 citing papers with a page here →.

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