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:
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆78Updated 2 years ago
- Analyzing LLM Alignment via Token distribution shift☆17Updated last year
- Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models☆48Updated 2 years ago
- ☆29Updated last year
- ☆103Updated 2 years ago
- PASTA: Post-hoc Attention Steering for LLMs☆132Updated last year
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆77Updated last year
- Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Le…☆75Updated last year
- Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)☆92Updated 2 years ago
- Methods and evaluation for aligning language models temporally☆30Updated last year
- [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors☆82Updated last year
- Grade-School Math with Irrelevant Context (GSM-IC) benchmark is an arithmetic reasoning dataset built upon GSM8K, by adding irrelevant se…☆64Updated 2 years ago
- ☆46Updated last year
- ☆52Updated 9 months ago
- Repository for "Propagating Knowledge Updates to LMs Through Distillation" (NeurIPS 2023).☆26Updated last year
- Exploring the Limitations of Large Language Models on Multi-Hop Queries☆29Updated 10 months ago
- [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".☆64Updated 5 months ago
- Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning [ICML 2024]☆20Updated last year
- [𝐄𝐌𝐍𝐋𝐏 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝟐𝟎𝟐𝟒 & 𝐀𝐂𝐋 𝟐𝟎𝟐𝟒 𝐍𝐋𝐑𝐒𝐄 𝐎𝐫𝐚𝐥] 𝘌𝘯𝘩𝘢𝘯𝘤𝘪𝘯𝘨 𝘔𝘢𝘵𝘩𝘦𝘮𝘢𝘵𝘪𝘤𝘢𝘭 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯…☆51Updated last year
- A curated list of awesome resources dedicated to Scaling Laws for LLMs☆80Updated 2 years ago
- Restore safety in fine-tuned language models through task arithmetic☆31Updated last year
- One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning☆40Updated 2 years ago
- Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).☆17Updated last year
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆32Updated 11 months ago
- [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training☆23Updated last year
- Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs☆40Updated last year
- Test-time-training on nearest neighbors for large language models☆49Updated last year
- Code for the paper "A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis"☆19Updated 7 months ago
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆33Updated last year
- Code for Paper (Preserving Diversity in Supervised Fine-tuning of Large Language Models)☆49Updated 8 months ago