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Societal Alignment Frameworks Can Improve LLM Alignment
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 …
ACM Conference on Fairness, Accountability, and Transparency,  2026.
Article Citation
M2Lingual: Enhancing Multilingual, Multi-Turn Instruction Alignment in Large Language Models
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 …
North American Chapter of the Association for Computational Linguistics (NAACL),  2025.
Article Citation Code
Societal Alignment Frameworks Can Improve LLM Alignment
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 …
Workshop at the International Conference of Learning Representation (ICLR),  2025.
Article Citation
Curry-DPO: Enhancing Alignment using Curriculum Learning & Ranked Preferences
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 …
Conference on Empirical Methods in Natural Language Processing (EMNLP),  2024.
Article Citation