Stars
LLM-Merging: Building LLMs Efficiently through Merging
Automatic translation from Standard to Inclusive French, and vice-versa
Model Stock: All we need is just a few fine-tuned models
A repo for RLHF training and BoN over LLMs, with support for reward model ensembles.
Online Adaptation of Language Models with a Memory of Amortized Contexts (NeurIPS 2024)
Explore what LLMs are really leanring over SFT
Self-Alignment with Principle-Following Reward Models
[ICLR2024] (EvALign-ICL Benchmark) Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context Learning
Official inference library for Mistral models
MAD: The first work to explore Multi-Agent Debate with Large Language Models :D
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents
Reading list of hallucination in LLMs. Check out our new survey paper: "Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models"
A Survey of Hallucination in Large Foundation Models
DSPy: The framework for programming—not prompting—language models
[EMNLP 2023, Findings] GRACE: Discriminator-Guided Chain-of-Thought Reasoning
Code for the paper: Diversity Measures: Domain Independent Proxies for Failure in Language Model Queries
ACL Findings '23 - ICE: Multi-dimensional Evaluation of Text Summarization with In-Context Learning
Interactive Composition Explorer: a debugger for compositional language model programs
Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorch
This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.
This is the repo for the paper Shepherd -- A Critic for Language Model Generation
[TMLR23] Official implementation of UnIVAL: Unified Model for Image, Video, Audio and Language Tasks.
FacTool: Factuality Detection in Generative AI