jeffhj / LM-reasoningLinks
This repository contains a collection of papers and resources on Reasoning in Large Language Models.
☆564Updated last year
Alternatives and similar repositories for LM-reasoning
Users that are interested in LM-reasoning are comparing it to the libraries listed below
Sorting:
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆769Updated last year
- [ACL 2023] Reasoning with Language Model Prompting: A Survey☆971Updated last month
- Papers and Datasets on Instruction Tuning and Following. ✨✨✨☆497Updated last year
- Prod Env☆423Updated last year
- This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.☆533Updated 8 months ago
- [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627☆490Updated 9 months ago
- Paper List for In-context Learning 🌷☆853Updated 9 months ago
- Paper collection on building and evaluating language model agents via executable language grounding☆356Updated last year
- A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.☆369Updated last year
- Aligning Large Language Models with Human: A Survey☆730Updated last year
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆350Updated last year
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆500Updated last year
- OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.☆566Updated last year
- paper list on reasoning in NLP☆190Updated 3 months ago
- Accompanying repo for the RLPrompt paper☆334Updated last year
- This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.☆484Updated last year
- Data and Code for Program of Thoughts [TMLR 2023]☆278Updated last year
- A curated list of awesome instruction tuning datasets, models, papers and repositories.☆335Updated 2 years ago
- ☆278Updated 6 months ago
- A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic…☆359Updated 2 months ago
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆545Updated last year
- Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03…☆541Updated last year
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆535Updated 5 months ago
- ☆284Updated last year
- All available datasets for Instruction Tuning of Large Language Models☆254Updated last year
- ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels …☆272Updated last year
- A paper & resource list of large language models, including course, paper, demo, figures☆199Updated last year
- LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.☆711Updated 9 months ago
- Source code for the paper "Active Prompting with Chain-of-Thought for Large Language Models"☆242Updated last year
- The repository for the survey paper <<Survey on Large Language Models Factuality: Knowledge, Retrieval and Domain-Specificity>>☆340Updated last year