Alternatives and similar repositories for ScaleBiO:

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

• junkangwu / beta-DPO
  [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$
  ☆41Updated 4 months ago
• haotiansun14 / BBox-Adapter
  Lightweight Adapting for Black-Box Large Language Models
  ☆20Updated last year
• tatsu-lab / test_set_contamination
  ☆37Updated last year
• princeton-nlp / benign-data-breaks-safety
  ☆30Updated 5 months ago
• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆63Updated last year
• srzer / MOD
  Official code for "Decoding-Time Language Model Alignment with Multiple Objectives".
  ☆19Updated 4 months ago
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆52Updated 11 months ago
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆66Updated 2 years ago
• RLHFlow / RAFT
  This is an official implementation of the Reward rAnked Fine-Tuning Algorithm (RAFT), also known as iterative best-of-n fine-tuning or re…
  ☆26Updated 5 months ago
• JasonForJoy / Model-Editing-Hurt
  EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
  ☆35Updated 3 months ago
• shizhediao / Black-Box-Prompt-Learning
  Source code for the TMLR paper "Black-Box Prompt Learning for Pre-trained Language Models"
  ☆55Updated last year
• RLHFlow / Directional-Preference-Alignment
  Directional Preference Alignment
  ☆56Updated 5 months ago
• abhishekpanigrahi1996 / Skill-Localization-by-grafting
  ☆50Updated last year
• kttian / llm_factuality_tuning
  ☆30Updated 10 months ago
• ADaM-BJTU / W2SG
  The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”
  ☆16Updated last year
• edenbiran / RippleEdits
  Evaluating the Ripple Effects of Knowledge Editing in Language Models
  ☆54Updated 10 months ago
• Reason-Wang / NAT
  The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agen…
  ☆24Updated 11 months ago
• keven980716 / weak-to-strong-deception
  [ICLR 2025] Code&Data for the paper "Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization"
  ☆13Updated 8 months ago
• ChnQ / TracingLLM
  ☆25Updated 9 months ago
• decoding-comp-trust / comp-trust
  Codebase for decoding compressed trust.
  ☆23Updated 10 months ago
• qiuzh20 / EMoE
  Official PyTorch Implementation of EMoE: Unlocking Emergent Modularity in Large Language Models [main conference @ NAACL2024]
  ☆29Updated 9 months ago
• RZFan525 / Awesome-ScalingLaws
  A curated list of awesome resources dedicated to Scaling Laws for LLMs
  ☆70Updated last year
• boyiwei / alignment-attribution-code
  [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
  ☆71Updated 2 weeks ago
• feiyang-k / AutoScale
  Official Code Repository for [AutoScale–Automatic Prediction of Compute-optimal Data Compositions for Training LLMs]
  ☆11Updated last month
• cxcscmu / MATES
  Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]
  ☆61Updated 3 months ago
• YJiangcm / LTE
  [ACL 2024] Learning to Edit: Aligning LLMs with Knowledge Editing
  ☆34Updated 6 months ago
• FreedomIntelligence / OVM
  ☆65Updated 11 months ago
• RUCAIBox / HaluEval-2.0
  ☆41Updated last year
• BeyonderXX / TRACE
  TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models
  ☆64Updated last year
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆89Updated 9 months ago