Alternatives and similar repositories for FSPO

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

• circle-hit / SAPT
  Code for ACL 2024 accepted paper titled "SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language …
  ☆38Updated last year
• pkunlp-icler / IKE
  ☆25Updated 2 years ago
• jinzhuoran / RWKU
  RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024
  ☆89Updated last year
• D2I-ai / eigenscore
  ☆41Updated last year
• lancopku / label-words-are-anchors
  Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
  ☆168Updated 2 years ago
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆62Updated last year
• SihengLi99 / LLM-Honesty-Survey
  [2025-TMLR] A Survey on the Honesty of Large Language Models
  ☆64Updated last year
• princeton-nlp / MQuAKE
  [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
  ☆119Updated last year
• deeplearning-wisc / picle
  Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)
  ☆26Updated last year
• alisawuffles / proxy-tuning
  Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
  ☆127Updated last year
• zepingyu0512 / neuron-attribution
  code for EMNLP 2024 paper: Neuron-Level Knowledge Attribution in Large Language Models
  ☆50Updated last year
• chenlong-clock / RULE-Unlearn
  [NeurIPS25] RULE: Reinforcement UnLEarning Achieves Forge-retain Pareto Optimality
  ☆19Updated 3 months ago
• Alsace08 / Chain-of-Embedding
  [ICLR 2025] Code and Data Repo for Paper "Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation"
  ☆93Updated last year
• GAIR-NLP / BeHonest
  BeHonest: Benchmarking Honesty in Large Language Models
  ☆34Updated last year
• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆69Updated last year
• RUCAIBox / HaluEval-2.0
  ☆48Updated 2 years ago
• liyongqi2002 / Awesome-Personalized-Alignment
  A curated list of personalized alignment resources (continually updated).
  ☆57Updated 3 months ago
• yuzhaouoe / SAE-based-representation-engineering
  [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  ☆72Updated 3 weeks ago
• javiferran / sae_entities
  ☆69Updated 11 months ago
• hkust-nlp / PEM_composition
  [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"
  ☆61Updated 2 years ago
• Jeryi-Sun / ReDEeP-ICLR
  The implement of paper:"ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability"
  ☆59Updated 8 months ago
• alenai97 / PEFT-MLLM
  Official Code and data for ACL 2024 finding, "An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models"
  ☆25Updated last year
• GAIR-NLP / alignment-for-honesty
  ☆78Updated last year
• zhaochen0110 / Cotempqa
  Code and data for "Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?" (ACL 2024)
  ☆32Updated last year
• SparkJiao / dpo-trajectory-reasoning
  [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".
  ☆83Updated last year
• YJiangcm / LTE
  [ACL 2024] Learning to Edit: Aligning LLMs with Knowledge Editing
  ☆36Updated last year
• weiyifan1023 / AutoTIR
  Code and Data for Paper "AutoTIR: Autonomous Tools Integrated Reasoning via Reinforcement Learning"
  ☆49Updated 5 months ago
• zepingyu0512 / awesome-SAE
  awesome SAE papers
  ☆71Updated 8 months ago
• Jarviswang94 / Multilingual_safety_benchmark
  Multilingual safety benchmark for Large Language Models
  ☆53Updated last year
• VITA-Group / SEAL
  [COLM 2025] SEAL: Steerable Reasoning Calibration of Large Language Models for Free
  ☆51Updated 10 months ago