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Workshop on Trustworthy NLP 2026: all accepted papers

41 papers · the most cited first · ← Workshop on Trustworthy NLP 2026

  1. Through a Compressed Lens: Investigating The Impact of Quantization on Factual Knowledge RecallQianli Wang, Mingyang Wang, Nils Feldhus et al.2 citations · our summary
  2. Purdah and Patriarchy: Evaluating and Mitigating South Asian Biases in Open-Ended Multilingual LLM GenerationsMamnuya Rinki, Chahat Raj, Anjishnu Mukherjee et al.1 citation · our summary
  3. Controllable Pareto Trade-off between Fairness and Accuracy ↗Yongkang Du, Jieyu Zhao, Yijun Yang et al.
  4. GateKD: Confidence-Gated Closed-Loop Distillation for Robust ReasoningKasidit Sermsri, Teerapong Panboonyuenour summary
  5. Hair-Trigger Alignment: Black-Box Evaluation Cannot Guarantee Post-Update Alignment ↗Yavuz Faruk Bakman, Duygu Nur Yaldiz, Salman Avestimehr et al.
  6. Linear Probes Detect Task Format, Not Reasoning Mode in Language Model Hidden StatesSubramanyam Sahoo, Vinija Jain, Aman Chadha et al.our summary
  7. PII Jailbreaking in LLMs via Activation Steering Reveals Personal Information LeakageKrishna Kanth Nakka, Xue Jiang, Dmitrii Usynin et al.our summary
  8. Teaching People LLM's Errors and Getting it RightNathan Stringham, Fateme Hashemi Chaleshtori, Xinyuan Yan et al.our summary
  9. What are They Thinking? Delineation, Probing, and Tracking of Concepts in LLMs ↗Mohamed Abdelwahab, Michelle Yu Collins, Sihan Chen et al.
  10. With a Grain of SALT: Are LLMs Fair Across Social Dimensions? ↗Samee Arif, Zohaib Khan, Maaidah Kaleem Butt et al.

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