---
title: "Workshop on Trustworthy NLP — workshop series, papers and"
description: "Workshop on Trustworthy NLP: 18 works in the Elamur Research library (2023–2026), 110 citations; its topics, authors and institutions."
canonical: "https://research.elamur.ai/free/en/venues/trustnlp/"
---
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# Workshop on Trustworthy NLP

Workshop series Published by [Association for Computational Linguistics](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/)

- [ACL Anthology](https://aclanthology.org/venues/trustnlp/)

[**18** works in our library](https://md.research.elamur.ai/free/en/venues/trustnlp/#works) · [**110** citations of these works](https://md.research.elamur.ai/free/en/venues/trustnlp/#works) · [**35** citations in our library](https://md.research.elamur.ai/free/en/venues/trustnlp/#works) · [**2023–2026** years of the works here](#years)

## Works by year

Works in our library by year 18 dated works from 2023 to 2026; the busiest year is 2026 with 16.

**The numbers**

| Year | Works |
| --- | --- |
| 2026 | 16 |
| 2023 | 2 |

## Editions

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

### 2020s

[**2026** 16 papers](https://md.research.elamur.ai/free/en/venues/trustnlp/2026/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/venues/trustnlp/2023/)

## Top topics

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

[Language models & pretraining (11)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Multilingual & cross-lingual NLP (2)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Evaluation & benchmarks (2)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning (2)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Bias, fairness & safety (2)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Efficient models & compression (2)](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Information retrieval & search (1)](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Interpretability (1)](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Vision & language (1)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [English (1)](https://md.research.elamur.ai/free/en/topics/english/)

## Fields

[Computer Science (18)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (13)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Social Sciences (10)](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Psychology (1)](https://md.research.elamur.ai/free/en/shelves/psychology/)

## Top authors

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

[🧑‍🔬**Rohith Namboothiri**2 works here](https://md.research.elamur.ai/free/en/authors/rohith-namboothiri/) · [🧑‍🔬**Haewoon Kwak**1 work here · 103 citations](https://md.research.elamur.ai/free/en/authors/haewoon-kwak/) · [🧑‍🔬**Jisun An**1 work here · 103 citations](https://md.research.elamur.ai/free/en/authors/jisun-an/) · [🧑‍🔬**Emily Sheng**1 work here · 4 citations](https://md.research.elamur.ai/free/en/authors/emily-sheng/) · [🧑‍🔬**Kyra Yee**1 work here · 4 citations](https://md.research.elamur.ai/free/en/authors/kyra-yee/) · [🧑‍🔬**Matthias Eck**1 work here · 4 citations](https://md.research.elamur.ai/free/en/authors/matthias-eck/) · [🧑‍🔬**Olivia Redfield**1 work here · 4 citations](https://md.research.elamur.ai/free/en/authors/olivia-redfield/) · [🧑‍🔬**Hinrich Schuetze**1 work here · 2 citations](https://md.research.elamur.ai/free/en/authors/hinrich-schuetze/) · [🧑‍🔬**Mingyang Wang**1 work here · 2 citations](https://md.research.elamur.ai/free/en/authors/mingyang-wang/) · [🧑‍🔬**Nils Feldhus**1 work here · 2 citations](https://md.research.elamur.ai/free/en/authors/nils-feldhus/) · [🧑‍🔬**Qianli Wang**1 work here · 2 citations](https://md.research.elamur.ai/free/en/authors/qianli-wang/) · [🧑‍🔬**Sebastian Möller**1 work here · 2 citations](https://md.research.elamur.ai/free/en/authors/sebastian-moller/)

## Top institutions

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

[🎓**University of North Carolina at Chapel Hill** Chapel Hill · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-north-carolina-at-chapel-hill/) · [🎓**University of Southern California** Los Angeles · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-southern-california/) · [🏢**Microsoft** Redmond · United States 1 work here](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**Northeastern University** Boston · United States 1 work here](https://md.research.elamur.ai/free/en/universities/northeastern-university/) · [🏢**Google** Mountain View · United States 1 work here](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Waseda University** Tokyo · Japan 1 work here](https://md.research.elamur.ai/free/en/universities/waseda-university/) · [🎓**Chulalongkorn University** Bangkok · Thailand 1 work here](https://md.research.elamur.ai/free/en/universities/chulalongkorn-university/) · [🎓**National Taiwan University** Taipei · Taiwan 1 work here](https://md.research.elamur.ai/free/en/universities/national-taiwan-university/) · [🎓**University of Utah** Salt Lake City · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-utah/) · [🔬**German Research Centre for Artificial Intelligence** Kaiserslautern · Germany 1 work here](https://md.research.elamur.ai/free/en/labs/german-research-centre-for-artificial-intelligence/) · [🏢**Google DeepMind** London · United Kingdom 1 work here](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🎓**Indiana University Bloomington** Bloomington · United States 1 work here](https://md.research.elamur.ai/free/en/universities/indiana-university-bloomington/)

## Works in our library (18)

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

1. **[Can we trust the evaluation on ChatGPT?](https://md.research.elamur.ai/free/en/papers/aiyappa-2023-can-we-trust-evaluation-chatgpt/) Workshop on Trustworthy NLP**Rachith 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 Twitter](https://md.research.elamur.ai/free/en/papers/yee-2023-keyword-based-approach-understanding-overpenalization/) Workshop on Trustworthy NLP**Kyra Yee, Alice Schoenauer Sebag, Olivia Redfield, et al.*2023 · 4 citations*
3. **[Through a Compressed Lens: Investigating The Impact of Quantization on Factual Knowledge Recall](https://md.research.elamur.ai/free/en/papers/wang-2026-through-compressed-lens-investigating-impact/) Workshop on Trustworthy NLP**Qianli 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 Generations](https://md.research.elamur.ai/free/en/papers/rinki-2026-purdah-patriarchy-evaluating-mitigating-south/) Workshop on Trustworthy NLP**Mamnuya Rinki, Chahat Raj, Anjishnu Mukherjee, et al.*2026 · 1 citation*
5. **[Did You Forget What I Asked? Prospective Memory Failures in Large Language Models](https://md.research.elamur.ai/free/en/papers/mittal-2026-did-you-forget-what-i/) Workshop on Trustworthy NLP**Avni Mittal*2026*
6. **[SURGELLM: Rethinking Multi-Task Evaluation through Task-Aware Feature Gating with Class-Balanced Normalization](https://md.research.elamur.ai/free/en/papers/mohammad-2026-surgellm-rethinking-multi-task-evaluation/) Workshop on Trustworthy NLP**Noor Islam S. Mohammad, Ulug Bayazit*2026*
7. **[PII Jailbreaking in LLMs via Activation Steering Reveals Personal Information Leakage](https://md.research.elamur.ai/free/en/papers/nakka-2026-pii-jailbreaking-llms-activation-steering/) Workshop on Trustworthy NLP**Krishna Kanth Nakka, Xue Jiang, Dmitrii Usynin, et al.*2026*
8. **[Authorization-First Retrieval: Enforcing Least Privilege in Multi-Agent RAG Systems](https://md.research.elamur.ai/free/en/papers/namboothiri-2026-authorization-first-retrieval-enforcing-least/) Workshop on Trustworthy NLP**Rohith Namboothiri*2026*
9. **[Ghost Context: Measuring Cross-Context Interference in Long-Context Language Models](https://md.research.elamur.ai/free/en/papers/namboothiri-2026-ghost-context-measuring-cross-context/) Workshop on Trustworthy NLP**Rohith Namboothiri*2026*
10. **[Why is “Chicago” Predictive of Deceptive Reviews? Using LLMs to Discover Language Phenomena from Lexical Cues](https://md.research.elamur.ai/free/en/papers/qu-2026-why-is-chicago-predictive-deceptive/) Workshop on Trustworthy NLP**Jiaming Qu, Mengtian Guo, Yue Wang*2026*
11. **[The Geometry of Refusal: Linear Instability in Safety-Aligned LLMs](https://md.research.elamur.ai/free/en/papers/ratnakar-2026-geometry-refusal-linear-instability-safety/) Workshop on Trustworthy NLP**Shivam Ratnakar, Kartikeya Vats*2026*
12. **[Linear Probes Detect Task Format, Not Reasoning Mode in Language Model Hidden States](https://md.research.elamur.ai/free/en/papers/sahoo-2026-linear-probes-detect-task-format/) Workshop on Trustworthy NLP**Subramanyam Sahoo, Vinija Jain, Aman Chadha, et al.*2026*
13. **[GateKD: Confidence-Gated Closed-Loop Distillation for Robust Reasoning](https://md.research.elamur.ai/free/en/papers/sermsri-2026-gatekd-confidence-gated-closed-loop/) Workshop on Trustworthy NLP**Kasidit Sermsri, Teerapong Panboonyuen*2026*
14. **[Teaching People LLM's Errors and Getting it Right](https://md.research.elamur.ai/free/en/papers/stringham-2026-teaching-people-llm-s-errors/) Workshop on Trustworthy NLP**Nathan Stringham, Fateme Hashemi Chaleshtori, Xinyuan Yan, et al.*2026*
15. **[Truth or Dare: Analyzing LLM Susceptibility to External Evidence of Varying Factuality](https://md.research.elamur.ai/free/en/papers/su-2026-truth-or-dare-analyzing-llm/) Workshop on Trustworthy NLP**Han-Yu Su, Kuan-Yu Chu, Yung-Hui Li, et al.*2026*
16. **[Quantifying LLM Safety Degradation Under Repeated Attacks Using Survival Analysis](https://md.research.elamur.ai/free/en/papers/topol-2026-quantifying-llm-safety-degradation-under/) Workshop on Trustworthy NLP**Zvi Topol*2026*
17. **[Don't Want Your LLM to Recommend Nuclear Strike? Try Asking It in Japanese](https://md.research.elamur.ai/free/en/papers/touchent-2026-don-t-want-your-llm/) Workshop on Trustworthy NLP**Rian Touchent*2026*
18. **[Evaluating Cross-Lingual Behavior and Consistency of Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-evaluating-cross-lingual-behavior-consistency/) Workshop on Trustworthy NLP**Hao Wang, Pinzhi Huang, Daisuke Kawahara*2026*

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