r-three / realistic_evaluation_of_model_merging_for_compositional_generalizationLinks
☆12Updated 11 months ago
Alternatives and similar repositories for realistic_evaluation_of_model_merging_for_compositional_generalization
Users that are interested in realistic_evaluation_of_model_merging_for_compositional_generalization are comparing it to the libraries listed below
Sorting:
- ☆50Updated last year
- Gemstones: A Model Suite for Multi-Faceted Scaling Laws (NeurIPS 2025)☆29Updated last week
- ☆101Updated last year
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆59Updated last year
- ☆45Updated last year
- Test-time-training on nearest neighbors for large language models☆46Updated last year
- ☆20Updated last year
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆81Updated 2 years ago
- Language models scale reliably with over-training and on downstream tasks☆100Updated last year
- ☆33Updated 9 months ago
- The repository contains code for Adaptive Data Optimization☆25Updated 9 months ago
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- PyTorch codes for the paper "An Empirical Study of Multimodal Model Merging"☆37Updated last year
- ☆85Updated last year
- Codebase for Context-aware Meta-learned Loss Scaling (CaMeLS). https://arxiv.org/abs/2305.15076.☆25Updated last year
- ☆17Updated last year
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆55Updated 2 years ago
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆84Updated 11 months ago
- Stanford NLP Python library for benchmarking the utility of LLM interpretability methods☆134Updated 3 months ago
- ☆15Updated last year
- Exploration of automated dataset selection approaches at large scales.☆47Updated 7 months ago
- [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…☆16Updated 5 months ago
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆44Updated 5 months ago
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆31Updated 8 months ago
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆92Updated 10 months ago
- Long Context Extension and Generalization in LLMs☆60Updated last year
- Official code repo for paper "Great Memory, Shallow Reasoning: Limits of kNN-LMs"☆24Updated 5 months ago
- ☆27Updated 2 years ago
- The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling☆34Updated last month
- [𝐄𝐌𝐍𝐋𝐏 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝟐𝟎𝟐𝟒 & 𝐀𝐂𝐋 𝟐𝟎𝟐𝟒 𝐍𝐋𝐑𝐒𝐄 𝐎𝐫𝐚𝐥] 𝘌𝘯𝘩𝘢𝘯𝘤𝘪𝘯𝘨 𝘔𝘢𝘵𝘩𝘦𝘮𝘢𝘵𝘪𝘤𝘢𝘭 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯…☆52Updated last year