Liang's starred repositories
awesome-llm-powered-agent
Awesome things about LLM-powered agents. Papers / Repos / Blogs / ...
hallucination-leaderboard
Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents
Paper-Reading-ConvAI
📖 Paper reading list in conversational AI (constantly updating 🤗).
llm-hallucination-survey
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"
awesome-hallucination-detection
List of papers on hallucination detection in LLMs.
LLM4IR-Survey
This is the repo for the survey of LLM4IR.
Awesome-LLM-Eval
Awesome-LLM-Eval: a curated list of tools, datasets/benchmark, demos, leaderboard, papers, docs and models, mainly for Evaluation on LLMs. 一个由工具、基准/数据、演示、排行榜和大模型等组成的精选列表,主要面向基础大模型评测,旨在探求生成式AI的技术边界.
awesome-trustworthy-deep-learning
A curated list of trustworthy deep learning papers. Daily updating...
LLM-Factuality-Survey
The repository for the survey paper <<Survey on Large Language Models Factuality: Knowledge, Retrieval and Domain-Specificity>>
algorithm-go
算法笔记|base algorithms using go and lc solution using py and go
Awesome-LLM-Watermark
UP-TO-DATE LLM Watermark paper. 🔥🔥🔥
Math-Reasoning-With-PLMs
EMNLP22: Multi-View Reasoning: Consistent Contrastive Learning for Math Word Problem
bottle-mvc
python boilerplate application following MVC pattern using bottle micro framework
hallucination-foundation-model-survey
A Survey of Hallucination in Large Foundation Models
PersonaClassifier
RoBERTa finetuned on DNLI dataset
LLM_Legal_Prompt_Generation
Data and codes for the EMNLP 2023 paper 'LLMs – the Good, the Bad or the Indispensable?: A Use Case on Legal Statute Prediction and Legal Judgment Prediction on Indian Court Cases'
prefix_subspace
This repository contains the code the was used for the experiments reported in the EMNLP 2023 article "Improving generalization in large langue model by learning prefix subspaces".
LLMCompression
Official codebase for the EMNLP 2023 findings paper titled "The Cost of Compression: Investigating the Impact of Compression on Parametric Knowledge in Language Models"
emoLLMsynth
Repository for our EMNLP 2023 Findings Paper: "Do Stochastic Parrots have Feelings Too? Improving Neural Detection of Synthetic Text via Emotion Recognition"