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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.

2 papers in our library · 2024–2025

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

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Fields, topics and concepts

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

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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

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. “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
  2. 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
  3. On the steerability of large language models toward data-driven personas ↗arXiv (Cornell University) · no summary yetJunyi Li et al.2023 · 18 citations
  4. 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
  5. 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
  6. 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
  7. JAB: Joint Adversarial Prompting and Belief Augmentation ↗arXiv (Cornell University) · no summary yetNinareh Mehrabi et al.2023 · 4 citations
  8. 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
  9. Incorporating Fairness in Large Scale NLU Systems ↗no summary yetRahul Gupta et al.2023

 Co-authors here

12 of 16 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 141 times (of the 149,439 papers whose bibliographies we read); 32 citing papers with a page here →.

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