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Codes and Data for ACL 2024 Paper "Faithful Logical Reasoning via Symbolic Chain-of-Thought".
SatLM: SATisfiability-Aided Language Models using Declarative Prompting (NeurIPS 2023)
🔗 LINC: Logical Inference via Neurosymbolic Computation [EMNLP2023]
A Unified Library for Parameter-Efficient and Modular Transfer Learning
Use PEFT or Full-parameter to finetune 400+ LLMs (Qwen2.5, Llama3.2, GLM4, Internlm2.5, Yi1.5, Mistral, Baichuan2, DeepSeek, ...) or 150+ MLLMs (Qwen2-VL, Qwen2-Audio, Llama3.2-Vision, Llava, Inter…
Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"
ReFT: Representation Finetuning for Language Models
PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models
BABILong is a benchmark for LLM evaluation using the needle-in-a-haystack approach.
A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey" (TKDE)
OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models
Weak-to-Strong Jailbreaking on Large Language Models
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery (EMNLP'24)
Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
Codes for papers on Large Language Models Personalization (LaMP)
Code and results accompanying the paper "Refusal in Language Models Is Mediated by a Single Direction".
Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
This repo aims to record resource of role-playing abilities in LLMs, including dataset, paper, application, etc.
Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)
Natural Questions (NQ) contains real user questions issued to Google search, and answers found from Wikipedia by annotators. NQ is designed for the training and evaluation of automatic question ans…
Code for the TriviaQA reading comprehension dataset
A Survey on the Honesty of Large Language Models
Implementing the 4 agentic patterns from scratch