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Hongtao Li

2 accepted papers

2026

Not All Documents Are What You Need for Extracting Instruction Tuning Data

ICLR 2026poster

Instruction tuning improves the LLMs performance but depends on high-quality training data. Recently, LLMs have been used to synthesize data, enhancing training with seeds like question-answer (QA) pairs. However, this synthesis often results in instruction examples similar to the seeds, lacking div…

Cited by 0SourceScholar
2025

In-situ Value-aligned Human-Robot Interactions with Physical Constraints

IROS 2025

Equipped with Large Language Models (LLMs), human-centered robots are now capable of performing a wide range of tasks that were previously deemed challenging or unattainable. However, merely completing tasks is insufficient for cognitive robots, who should learn and apply human preferences to future

Cited by 0SourceScholar