Alternatives and similar repositories for InstructEval:

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

• ruizheng20 / gpo
  The code of paper "Toward Optimal LLM Alignments Using Two-Player Games".
  ☆16Updated 8 months ago
• OSU-NLP-Group / llm-planning-eval
  [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"
  ☆54Updated last year
• awwang10 / llmpromptboosting
  Accompanying code for "Boosted Prompt Ensembles for Large Language Models"
  ☆30Updated last year
• GAIR-NLP / MetaCritique
  Evaluate the Quality of Critique
  ☆35Updated 9 months ago
• dunzeng / MORE
  Code for EMNLP'24 paper - On Diversified Preferences of Large Language Model Alignment
  ☆15Updated 7 months ago
• Princeton-SysML / kNNLM_privacy
  Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888
  ☆35Updated 9 months ago
• YuxiXie / SelfEval-Guided-Decoding
  ☆94Updated last year
• scandukuri / assistant-gate
  ☆20Updated 9 months ago
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆44Updated 2 months ago
• RUCAIBox / RLMEC
  The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"
  ☆37Updated last year
• debjitpaul / refiner
  About The corresponding code from our paper " REFINER: Reasoning Feedback on Intermediate Representations" (EACL 2024). Do not hesitate t…
  ☆70Updated last year
• oriyor / ret-robust
  Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"
  ☆65Updated 7 months ago
• allenai / easy-to-hard-generalization
  Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"
  ☆46Updated last year
• shadowkiller33 / Contrast-Instruction
  ☆19Updated last year
• TianHongZXY / CoRe
  [ACL 2023] Solving Math Word Problems via Cooperative Reasoning induced Language Models (LLMs + MCTS + Self-Improvement)
  ☆48Updated last year
• r-three / RAD
  Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
  ☆42Updated last year
• HazyResearch / skill-it
  Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models
  ☆43Updated last year
• princeton-nlp / Collie
  [ICLR 2024] COLLIE: Systematic Construction of Constrained Text Generation Tasks
  ☆52Updated last year
• kaistAI / Janus
  [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages
  ☆44Updated 3 months ago
• zankner / CLoud
  Critique-out-Loud Reward Models
  ☆53Updated 5 months ago
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆33Updated 5 months ago
• princeton-nlp / WhatICLLearns
  [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning
  ☆21Updated last year
• alon-albalak / FLAD
  Few-shot Learning with Auxiliary Data
  ☆27Updated last year
• Reason-Wang / NAT
  The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agen…
  ☆24Updated last year
• shizhediao / R-Tuning
  [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…
  ☆108Updated 8 months ago
• HKUNLP / ProGen
  [EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.
  ☆26Updated 2 years ago
• Nanami18 / Snowballed_Hallucination
  ☆44Updated 6 months ago
• Re-Align / just-eval
  A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.
  ☆84Updated last year
• hbin0701 / Self-Explore
  [𝐄𝐌𝐍𝐋𝐏 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝟐𝟎𝟐𝟒 & 𝐀𝐂𝐋 𝟐𝟎𝟐𝟒 𝐍𝐋𝐑𝐒𝐄 𝐎𝐫𝐚𝐥] 𝘌𝘯𝘩𝘢𝘯𝘤𝘪𝘯𝘨 𝘔𝘢𝘵𝘩𝘦𝘮𝘢𝘵𝘪𝘤𝘢𝘭 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯…
  ☆48Updated 10 months ago