SinclairCoder/Instruction-Tuning-Papers
Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
[ICLR 2024] Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
$ git clone https://github.com/zjunlp/Mol-Instructions.gitReading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
▲ +2 ★ this week
Must-read Papers on LLM Agents.
▲ +1 ★ this week
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
[ACL 2023] Reasoning with Language Model Prompting: A Survey
A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
[ICML 2024] TrustLLM: LLM trustworthiness evaluation across truthfulness, safety, fairness, robustness, privacy and ethics. Python/CLI toolkit for local models, compatible APIs and AI agent orchestration.
Data from GitHub · snapshot Nov 13, 2026