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Nouha Dziri — all works

28 works · ← Nouha Dziri

  1. Self-Refine: Iterative Refinement with Self-Feedback ↗arXiv:2303.17651 · no summary yetAman Madaan et al.2023 · 1,962 citations
  2. Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingarXiv:2411.15124Nathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 423 citations
  3. 2 OLMo 2 Furious ↗arXiv:2501.00656 · no summary yetTeam OLMo et al.2025 · 262 citations
  4. Fine-Grained Human Feedback Gives Better Rewards for Language Model TrainingarXiv:2306.01693Zeqiu Wu, Yushi Hu, Weijia Shi, et al.2023 · 223 citations
  5. Automatic Dialogue Generation with Expressed Emotions ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) · no summary yetChenyang Huang et al.2018 · 177 citations
  6. The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context LearningarXiv:2312.01552Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, et al.2023 · 150 citations
  7. A Roadmap to Pluralistic AlignmentarXiv:2402.05070Taylor Sorensen, Jared Moore, Jillian Fisher, et al.2024 · 143 citations
  8. Evaluating Coherence in Dialogue Systems using Entailment ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetNouha Dziri et al.2019 · 143 citations
  9. WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the WildarXiv:2406.04770Bill Yuchen Lin, Yuntian Deng, Khyathi Chandu, et al.2024 · 105 citations
  10. Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement ↗arXiv (Cornell University) · no summary yetLinlu Qiu et al.2023 · 64 citations
  11. The Generative AI Paradox: "What It Can Create, It May Not Understand" ↗arXiv:2311.00059 · no summary yetPeter West et al.2023 · 62 citations
  12. CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language PromptingarXiv:2404.10199Huihan Li, Liwei Jiang, Jena D. Hwang, et al.2024 · 40 citations
  13. REL-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance ↗Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetKaitlyn Zhou et al.2025 · 16 citations
  14. OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization ↗neural information processing systems · no summary yetYiyou Sun et al.2025 · 12 citations
  15. OpenAgentSafety: A Comprehensive Framework for Evaluating Real-World AI Agent Safety ↗arXiv (Cornell University) · no summary yetSanidhya Vijayvargiya et al.2025 · 7 citations
  16. Climbing the Ladder of Reasoning: What LLMs Can-and Still Can't-Solve after SFT? ↗arXiv (Cornell University) · no summary yetYoufa Sun et al.2025 · 6 citations
  17. Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations ↗neural information processing systems · no summary yetYiyou Sun et al.2025 · 6 citations
  18. RL Grokking Recipe: How Does RL Unlock and Transfer New Algorithms in LLMs? ↗arXiv (Cornell University) · no summary yetYiyou Sun et al.2025 · 3 citations

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