Alternatives and similar repositories for LLMQA:

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

• BunsenFeng / AbstainQA
  AbstainQA, ACL 2024
  ☆25Updated 5 months ago
• technion-cs-nlp / hallucination-mitigation
  ☆22Updated 3 months ago
• ChengpengLi1003 / DotaMath
  ☆29Updated 3 months ago
• weizhepei / InstructRAG
  [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
  ☆81Updated last month
• googleinterns / localizing-paragraph-memorization
  ☆13Updated last year
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆33Updated 6 months ago
• uscnlp-lime / safer-instruct
  This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"
  ☆17Updated last year
• JayZhang42 / SLED
  SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Model https://arxiv.org/pdf/2411.02433
  ☆24Updated 3 months ago
• wwxu21 / CUT
  Source code of "Reasons to Reject? Aligning Language Models with Judgments"
  ☆58Updated last year
• RUCAIBox / BAMBOO
  ☆34Updated last year
• castorini / perm-sc
  Official codebase for permutation self-consistency.
  ☆18Updated last year
• LuLuLuyi / LongHeads
  LongHeads: Multi-Head Attention is Secretly a Long Context Processor
  ☆29Updated 11 months ago
• Re-Align / just-eval
  A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.
  ☆85Updated last year
• maszhongming / ParaKnowTransfer
  Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"
  ☆32Updated 10 months ago
• jinzhuoran / RAG-RewardBench
  RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
  ☆16Updated 3 months ago
• OpenBMB / CPO
  ☆20Updated 8 months ago
• RUCAIBox / RLMEC
  The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"
  ☆37Updated last year
• GAIR-NLP / scaleeval
  Scalable Meta-Evaluation of LLMs as Evaluators
  ☆42Updated last year
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆46Updated 3 months ago
• chujiezheng / LLM-Extrapolation
  Official repository for paper "Weak-to-Strong Extrapolation Expedites Alignment"
  ☆73Updated 9 months ago
• GAIR-NLP / weak-to-strong-reasoning
  ☆59Updated 7 months ago
• zjunlp / unlearn
  Knowledge Unlearning for Large Language Models
  ☆22Updated 3 weeks ago
• kaistAI / Janus
  [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages
  ☆44Updated 4 months ago
• DAMO-NLP-SG / LongPO
  [ICLR 2025] LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
  ☆31Updated last month
• yale-nlp / refdpo
  ☆16Updated 8 months ago
• GAIR-NLP / MetaCritique
  Evaluate the Quality of Critique
  ☆34Updated 10 months ago
• kaiyuhwang / MLLM-Survey
  The paper list of multilingual pre-trained models (Continual Updated).
  ☆20Updated 9 months ago
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆34Updated last month
• GAIR-NLP / MoPS
  [ACL 2024] Code for "MoPS: Modular Story Premise Synthesis for Open-Ended Automatic Story Generation"
  ☆36Updated 8 months ago
• 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…
  ☆109Updated 8 months ago