Alternatives and similar repositories for hyper-task-descriptions

Users that are interested in hyper-task-descriptions are comparing it to the libraries listed below

• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆78Updated 2 years ago
• HazyResearch / skill-it
  Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models
  ☆48Updated 2 years ago
• abertsch72 / long-context-icl
  Data and code for the preprint "In-Context Learning with Long-Context Models: An In-Depth Exploration"
  ☆42Updated last year
• cxcscmu / MATES
  Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]
  ☆79Updated last year
• Re-Align / AlignTDS
  Analyzing LLM Alignment via Token distribution shift
  ☆17Updated 2 years ago
• activatedgeek / calibration-tuning
  ☆53Updated 10 months ago
• hbin0701 / Self-Explore
  [𝐄𝐌𝐍𝐋𝐏 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝟐𝟎𝟐𝟒 & 𝐀𝐂𝐋 𝟐𝟎𝟐𝟒 𝐍𝐋𝐑𝐒𝐄 𝐎𝐫𝐚𝐥] 𝘌𝘯𝘩𝘢𝘯𝘤𝘪𝘯𝘨 𝘔𝘢𝘵𝘩𝘦𝘮𝘢𝘵𝘪𝘤𝘢𝘭 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯…
  ☆51Updated last year
• shankarp8 / knowledge_distillation
  Repository for "Propagating Knowledge Updates to LMs Through Distillation" (NeurIPS 2023).
  ☆26Updated last year
• roeehendel / icl_task_vectors
  ☆103Updated 2 years ago
• QingruZhang / PASTA
  PASTA: Post-hoc Attention Steering for LLMs
  ☆134Updated last year
• bloomberg / dataless-model-merging
  Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)
  ☆93Updated 2 years ago
• liziniu / GEM
  Code for Paper (Preserving Diversity in Supervised Fine-tuning of Large Language Models)
  ☆51Updated 8 months ago
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆83Updated last year
• GAIR-NLP / MetaCritique
  Evaluate the Quality of Critique
  ☆36Updated last year
• tml-epfl / long-is-more-for-alignment
  Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning [ICML 2024]
  ☆21Updated last year
• swj0419 / in-context-pretraining
  ☆55Updated last year
• socialfoundations / tttlm
  Test-time-training on nearest neighbors for large language models
  ☆49Updated last year
• princeton-nlp / Edge-Pruning
  [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".
  ☆64Updated 5 months ago
• facebookresearch / RLCD
  Reproduction of "RLCD Reinforcement Learning from Contrast Distillation for Language Model Alignment
  ☆69Updated 2 years ago
• epfl-dlab / llm-latent-language
  Repo accompanying our paper "Do Llamas Work in English? On the Latent Language of Multilingual Transformers".
  ☆80Updated last year
• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆62Updated last year
• RZFan525 / Awesome-ScalingLaws
  A curated list of awesome resources dedicated to Scaling Laws for LLMs
  ☆82Updated 2 years ago
• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆32Updated last year
• dannyallover / overthinking_the_truth
  ☆29Updated last year
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆85Updated 11 months ago
• declare-lab / resta
  Restore safety in fine-tuned language models through task arithmetic
  ☆31Updated last year
• VITA-Group / Random-MoE-as-Dropout
  [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…
  ☆56Updated 2 years ago
• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆47Updated 9 months ago
• yuzhaouoe / pretraining-data-packing
  [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training
  ☆23Updated last year
• tatsu-lab / test_set_contamination
  ☆41Updated 2 years ago