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Alignment
M2Lingual: Enhancing Multilingual, Multi-Turn Instruction Alignment in Large Language Models
Instruction finetuning (IFT) is critical for aligning Large Language Models (LLMs) to follow instructions. While many effective IFT …
Rishabh Maheshwary
,
Vikas Yadav
,
Hoang Nguyen
,
Khyati Mahajan
,
Sathwik Tejaswi Madhusudhan
North American Chapter of the Association for Computational Linguistics (NAACL), 2025.
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Societal Alignment Frameworks Can Improve LLM Alignment
Recent progress in large language models (LLMs) has focused on producing responses that meet human expectations and align with shared …
Karolina Stanczak
,
Nicholas Meade
,
Mehar Bhatia
,
Hattie Zhou
,
Konstantin Böttinger
,
Jeremy Barns
,
Jason Stanley
,
Nicolas Papernot
,
Nicolas Chapados
,
Denis Therien
,
Timothy P Lillicrap
,
Ana Marasovic
,
Sylvie Delacroix
,
Gillian K Hadfield
,
Siva Reddy
Workshop at the International Conference of Learning Representation (ICLR), 2025.
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Curry-DPO: Enhancing Alignment using Curriculum Learning & Ranked Preferences
Direct Preference Optimization (DPO) is an effective technique that leverages pairwise preference data (usually one chosen and rejected …
Pulkit Pattnaik
,
Rishabh Maheshwary
,
Kelechi Ogueji
,
Vikas Yadav
,
Sathwik Tejaswi Madhusudhan
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
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