Palash Goyal
Palash Goyal has 2 papers in our library, in 2024–2025, most of them on Reasoning, Bias, fairness & safety; often with Aram Galstyan, Chen-Yu Lee, Chitta Baral.
OpenAlex · ORCID · Wikidata · h-index 12 · 95 works · 3,097 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 141 times in our library · 9 more in our library without a page yet · ⭐ Paper Stars ranking: #7601
Affiliations
Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work
🧭 Topics 2Research subjects and languages the work is about.Bias, fairness & safety · 1 workReasoning · 1 work
Works by year
2020s
Papers
- FLIRT: Feedback Loop In-context Red Teaming (2024 · 42 citations)
The paper tackles automated red teaming: finding inputs that push generative models into producing unsafe content, without expensive human probing. - PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving (2025 · 16 citations)
LLM-based agents and test-time search methods often fail on "natural planning" tasks, such as scheduling meetings or planning trips described in plain language.
All works
- “I’m fully who I am”: Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation ↗ACM Conference on Fairness, Accountability, and Transparency (FAccT) · no summary yetAnaelia Ovalle et al.2023 · 79 citations
- FLIRT: Feedback Loop In-context Red TeamingConference on Empirical Methods in Natural Language Processing (EMNLP)Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, et al.2024 · 42 citations
- The steerability of large language models toward data-driven personas ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetJunyi Li et al.2024 · 20 citations
- On the steerability of large language models toward data-driven personas ↗arXiv (Cornell University) · no summary yetJunyi Li et al.2023 · 18 citations
- Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies ↗Findings of the Association for Computational Linguistics: NAACL 2024 · no summary yetAnaelia Ovalle et al.2024 · 17 citations
- PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem SolvingConference on Empirical Methods in Natural Language Processing (EMNLP)Mihir Parmar, Xin Liu, Palash Goyal, et al.2025 · 16 citations
- Resolving Ambiguities in Text-to-Image Generative Models ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetNinareh Mehrabi et al.2023 · 16 citations
- Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems ↗neural information processing systems · no summary yetShangbin Feng et al.2025 · 7 citations
- JAB: Joint Adversarial Prompting and Belief Augmentation ↗arXiv (Cornell University) · no summary yetNinareh Mehrabi et al.2023 · 4 citations
- Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification ↗Findings of the Association for Computational Linguistics: EMNLP 2024 · no summary yetTao Meng et al.2024 · 3 citations
- Incorporating Fairness in Large Scale NLU Systems ↗no summary yetRahul Gupta et al.2023
Co-authors here
- Aram Galstyan
- Chen-Yu Lee
- Chitta Baral
- Hootan Nakhost
- Jindong Gu
- Kai-Wei Chang
- Long Le
- Mihir Parmar
- Ninareh Mehrabi
- Qian Hu
- Rahul Gupta
- Richard S. Zemel
Venues
- Conference on Empirical Methods in Natural Language Processing (EMNLP) ×2: EMNLP 2025, EMNLP 2024
- ACM Conference on Fairness, Accountability, and Transparency (FAccT)
- Findings of the Association for Computational Linguistics: EMNLP 2024
- Findings of the Association for Computational Linguistics: NAACL 2024
- Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- neural information processing systems
Cited by
Updated
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