📰 Workshop on Trustworthy NLP

📅 Works by year

Editions

Each year with works in our library has its page: the place and dates where known, its works, topics, authors and institutions.

2020s

🧭 Top topics

Topics of its works in our library, with the number of works on each.

🧠Language models & pretraining (11)🌍Multilingual & cross-lingual NLP (2)📏Evaluation & benchmarks (2)🧮Reasoning (2)🛡️Bias, fairness & safety (2)🪶Efficient models & compression (2)🔍Information retrieval & search (1)🔬Interpretability (1)🖼️Vision & language (1)English (1)

📚 Fields

🖥️Computer Science (18)🎭Arts and Humanities (13)🤝Social Sciences (10)💭Psychology (1)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓University of North Carolina at Chapel HillChapel Hill · United States1 work here🎓University of Southern CaliforniaLos Angeles · United States1 work here🏢MicrosoftRedmond · United States1 work here🎓Northeastern UniversityBoston · United States1 work here🏢GoogleMountain View · United States1 work here🎓Waseda UniversityTokyo · Japan1 work here🎓Chulalongkorn UniversityBangkok · Thailand1 work here🎓National Taiwan UniversityTaipei · Taiwan1 work here🎓University of UtahSalt Lake City · United States1 work here🔬German Research Centre for Artificial IntelligenceKaiserslautern · Germany1 work here🏢Google DeepMindLondon · United Kingdom1 work here🎓Indiana University BloomingtonBloomington · United States1 work here

📄 Works in our library (18)

The most cited first (OpenAlex citations plus our library's).

1. Can we trust the evaluation on ChatGPT?Workshop on Trustworthy NLPRachith Aiyappa, Jisun An, Haewoon Kwak, et al.2023 · 103 citations
2. A Keyword Based Approach to Understanding the Overpenalization of Marginalized Groups by English Marginal Abuse Models on TwitterWorkshop on Trustworthy NLPKyra Yee, Alice Schoenauer Sebag, Olivia Redfield, et al.2023 · 4 citations
3. Through a Compressed Lens: Investigating The Impact of Quantization on Factual Knowledge RecallWorkshop on Trustworthy NLPQianli Wang, Mingyang Wang, Nils Feldhus, et al.2026 · 2 citations
4. Purdah and Patriarchy: Evaluating and Mitigating South Asian Biases in Open-Ended Multilingual LLM GenerationsWorkshop on Trustworthy NLPMamnuya Rinki, Chahat Raj, Anjishnu Mukherjee, et al.2026 · 1 citation
5. Did You Forget What I Asked? Prospective Memory Failures in Large Language ModelsWorkshop on Trustworthy NLPAvni Mittal2026
6. SURGELLM: Rethinking Multi-Task Evaluation through Task-Aware Feature Gating with Class-Balanced NormalizationWorkshop on Trustworthy NLPNoor Islam S. Mohammad, Ulug Bayazit2026
7. PII Jailbreaking in LLMs via Activation Steering Reveals Personal Information LeakageWorkshop on Trustworthy NLPKrishna Kanth Nakka, Xue Jiang, Dmitrii Usynin, et al.2026
8. Authorization-First Retrieval: Enforcing Least Privilege in Multi-Agent RAG SystemsWorkshop on Trustworthy NLPRohith Namboothiri2026
9. Ghost Context: Measuring Cross-Context Interference in Long-Context Language ModelsWorkshop on Trustworthy NLPRohith Namboothiri2026
10. Why is “Chicago” Predictive of Deceptive Reviews? Using LLMs to Discover Language Phenomena from Lexical CuesWorkshop on Trustworthy NLPJiaming Qu, Mengtian Guo, Yue Wang2026
11. The Geometry of Refusal: Linear Instability in Safety-Aligned LLMsWorkshop on Trustworthy NLPShivam Ratnakar, Kartikeya Vats2026
12. Linear Probes Detect Task Format, Not Reasoning Mode in Language Model Hidden StatesWorkshop on Trustworthy NLPSubramanyam Sahoo, Vinija Jain, Aman Chadha, et al.2026
13. GateKD: Confidence-Gated Closed-Loop Distillation for Robust ReasoningWorkshop on Trustworthy NLPKasidit Sermsri, Teerapong Panboonyuen2026
14. Teaching People LLM's Errors and Getting it RightWorkshop on Trustworthy NLPNathan Stringham, Fateme Hashemi Chaleshtori, Xinyuan Yan, et al.2026
15. Truth or Dare: Analyzing LLM Susceptibility to External Evidence of Varying FactualityWorkshop on Trustworthy NLPHan-Yu Su, Kuan-Yu Chu, Yung-Hui Li, et al.2026
16. Quantifying LLM Safety Degradation Under Repeated Attacks Using Survival AnalysisWorkshop on Trustworthy NLPZvi Topol2026
17. Don't Want Your LLM to Recommend Nuclear Strike? Try Asking It in JapaneseWorkshop on Trustworthy NLPRian Touchent2026
18. Evaluating Cross-Lingual Behavior and Consistency of Multimodal Large Language ModelsWorkshop on Trustworthy NLPHao Wang, Pinzhi Huang, Daisuke Kawahara2026

Venues, publishers and identifiers from OpenAlex (2026-10-14) and the ACL Anthology; yearly proceedings are counted as one series.

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