Alternatives and similar repositories for OPPU

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

• LaMP-Benchmark / LaMP
  Codes for papers on Large Language Models Personalization (LaMP)
  ☆170Updated 7 months ago
• BunsenFeng / Knowledge_Card
  Code for "Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models", ICLR 2024 Oral.
  ☆21Updated last year
• BunsenFeng / AbstainQA
  AbstainQA, ACL 2024
  ☆28Updated last year
• YJiangcm / LTE
  [ACL 2024] Learning to Edit: Aligning LLMs with Knowledge Editing
  ☆36Updated last year
• alisawuffles / proxy-tuning
  Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
  ☆120Updated last year
• KID-22 / LLM-IR-Bias-Fairness-Survey
  This is the repo for the survey of Bias and Fairness in IR with LLMs.
  ☆57Updated last month
• yuzhaouoe / SAE-based-representation-engineering
  [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  ☆64Updated 10 months ago
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆61Updated last year
• xhan77 / context-aware-decoding
  ☆51Updated 10 months ago
• edenbiran / RippleEdits
  Evaluating the Ripple Effects of Knowledge Editing in Language Models
  ☆56Updated last year
• JiahongLiu21 / Awesome-Personalized-Large-Language-Models
  ☆86Updated last week
• princeton-nlp / MQuAKE
  [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
  ☆116Updated last year
• pillowsofwind / Knowledge-Conflicts-Survey
  [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"
  ☆138Updated last year
• sail-sg / CPO
  [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.
  ☆129Updated 6 months ago
• THU-KEG / RM-Bench
  [ICLR 25 Oral] RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style
  ☆63Updated 2 months ago
• Zayne-sprague / To-CoT-or-not-to-CoT
  ☆26Updated 6 months ago
• junkangwu / beta-DPO
  [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$
  ☆49Updated 11 months ago
• TamSiuhin / Per-Pcs
  Official Implementation of "Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts" at EMNLP 202…
  ☆10Updated 11 months ago
• chenyuxin1999 / S-DPO
  [NeurIPS 2024] The implementation of paper "On Softmax Direct Preference Optimization for Recommendation"
  ☆84Updated 10 months ago
• getao / icae
  The repo for In-context Autoencoder
  ☆143Updated 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…
  ☆121Updated last year
• KodCode-AI / code-r1
  Reproducing R1 for Code with Reliable Rewards
  ☆11Updated 6 months ago
• OSU-NLP-Group / LLM-Knowledge-Conflict
  [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"
  ☆77Updated last year
• SteveKGYang / MetaAligner
  Models, data, and codes for the paper: MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models
  ☆24Updated last year
• xlang-ai / BRIGHT
  [ICLR 2025] BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval
  ☆167Updated last month
• RUCAIBox / HaluEval-2.0
  ☆47Updated last year
• Hannibal046 / xRAG
  [Neurips2024] Source code for xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
  ☆153Updated last year
• WeiminXiong / IPR
  Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)
  ☆62Updated 11 months ago
• yizhongw / llm-temporal-alignment
  Methods and evaluation for aligning language models temporally
  ☆30Updated last year
• TianHongZXY / RLVR-Decomposed
  [NeurIPS 2025] Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"
  ☆110Updated last month