Alternatives and similar repositories for honest_llama

Users that are interested in honest_llama are comparing it to the libraries listed below

• kmeng01 / memit
  Mass-editing thousands of facts into a transformer memory (ICLR 2023)
  ☆510Updated last year
• voidism / DoLa
  Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
  ☆506Updated 7 months ago
• RUCAIBox / HaluEval
  This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.
  ☆497Updated last year
• kmeng01 / rome
  Locating and editing factual associations in GPT (NeurIPS 2022)
  ☆657Updated last year
• Shark-NLP / OpenICL
  OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.
  ☆569Updated last year
• davidbau / baukit
  ☆223Updated last year
• declare-lab / instruct-eval
  This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
  ☆547Updated last year
• jayelm / gisting
  Learning to Compress Prompts with Gist Tokens - https://arxiv.org/abs/2304.08467
  ☆290Updated 6 months ago
• suzgunmirac / BIG-Bench-Hard
  Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
  ☆507Updated last year
• glgh / awesome-llm-human-preference-datasets
  A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.
  ☆376Updated last year
• nelson-liu / lost-in-the-middle
  Code and data for "Lost in the Middle: How Language Models Use Long Contexts"
  ☆355Updated last year
• allenai / reward-bench
  RewardBench: the first evaluation tool for reward models.
  ☆624Updated 2 months ago
• andyzoujm / representation-engineering
  Representation Engineering: A Top-Down Approach to AI Transparency
  ☆865Updated last year
• teacherpeterpan / self-correction-llm-papers
  This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.
  ☆543Updated 9 months ago
• SinclairCoder / Instruction-Tuning-Papers
  Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
  ☆769Updated 2 years ago
• princeton-nlp / AutoCompressors
  [EMNLP 2023] Adapting Language Models to Compress Long Contexts
  ☆309Updated 11 months ago
• sail-sg / lorahub
  [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
  ☆646Updated last year
• shmsw25 / FActScore
  A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic…
  ☆372Updated 4 months ago
• kojima-takeshi188 / zero_shot_cot
  Prod Env
  ☆427Updated last year
• princeton-nlp / LESS
  [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning
  ☆476Updated 10 months ago
• kaistAI / CoT-Collection
  [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
  ☆246Updated last year
• allenai / FineGrainedRLHF
  ☆279Updated 7 months ago
• Re-Align / URIAL
  ☆311Updated last year
• reasoning-machines / pal
  PaL: Program-Aided Language Models (ICML 2023)
  ☆503Updated 2 years ago
• jeffhj / LM-reasoning
  This repository contains a collection of papers and resources on Reasoning in Large Language Models.
  ☆564Updated last year
• TIGER-AI-Lab / MAmmoTH
  Code and data for "MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning" [ICLR 2024]
  ☆376Updated 11 months ago
• TIGER-AI-Lab / Program-of-Thoughts
  Data and Code for Program of Thoughts [TMLR 2023]
  ☆282Updated last year
• anthropics / ConstitutionalHarmlessnessPaper
  ☆241Updated 2 years ago
• madaan / self-refine
  LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
  ☆724Updated 10 months ago
• GAIR-NLP / auto-j
  Generative Judge for Evaluating Alignment
  ☆244Updated last year