allenai / hyper-task-descriptionsLinks
Learning adapter weights from task descriptions
☆19Updated 2 years ago
Alternatives and similar repositories for hyper-task-descriptions
Users that are interested in hyper-task-descriptions are comparing it to the libraries listed below
Sorting:
- ☆102Updated 2 years ago
- Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models☆47Updated 2 years ago
- PASTA: Post-hoc Attention Steering for LLMs☆130Updated last year
- [𝐄𝐌𝐍𝐋𝐏 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝟐𝟎𝟐𝟒 & 𝐀𝐂𝐋 𝟐𝟎𝟐𝟒 𝐍𝐋𝐑𝐒𝐄 𝐎𝐫𝐚𝐥] 𝘌𝘯𝘩𝘢𝘯𝘤𝘪𝘯𝘨 𝘔𝘢𝘵𝘩𝘦𝘮𝘢𝘵𝘪𝘤𝘢𝘭 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯…☆51Updated last year
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆78Updated 2 years ago
- ☆29Updated last year
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆76Updated last year
- The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…☆99Updated 4 years ago
- [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors☆82Updated 11 months ago
- ☆52Updated 8 months ago
- Test-time-training on nearest neighbors for large language models☆48Updated last year
- Code for Paper (Preserving Diversity in Supervised Fine-tuning of Large Language Models)☆48Updated 6 months ago
- [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training☆22Updated last year
- ☆23Updated 2 weeks ago
- Exploring the Limitations of Large Language Models on Multi-Hop Queries☆29Updated 9 months ago
- [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".☆62Updated 3 months ago
- ☆46Updated last year
- Function Vectors in Large Language Models (ICLR 2024)☆186Updated 7 months ago
- ☆15Updated last year
- Restore safety in fine-tuned language models through task arithmetic☆29Updated last year
- ☆32Updated last year
- Repository for "Propagating Knowledge Updates to LMs Through Distillation" (NeurIPS 2023).☆26Updated last year
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆31Updated 10 months ago
- One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning☆40Updated 2 years ago
- Code for the paper "A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis"☆19Updated 5 months ago
- Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging☆113Updated 2 years ago
- Data and code for the preprint "In-Context Learning with Long-Context Models: An In-Depth Exploration"☆41Updated last year
- ☆54Updated last year
- [NeurIPS 2023 D&B Track] Code and data for paper "Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evalua…☆36Updated 2 years ago
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆123Updated last year