automl / is_mamba_capable_of_iclLinks
☆18Updated last year
Alternatives and similar repositories for is_mamba_capable_of_icl
Users that are interested in is_mamba_capable_of_icl are comparing it to the libraries listed below
Sorting:
- ☆33Updated 2 years ago
- Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…☆18Updated 9 months ago
- Code and data for the paper "Understanding Hidden Context in Preference Learning: Consequences for RLHF"☆30Updated last year
- ☆33Updated 10 months ago
- Curse-of-memory phenomenon of RNNs in sequence modelling☆19Updated 3 months ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆67Updated 2 years ago
- Preprint: Asymmetry in Low-Rank Adapters of Foundation Models☆35Updated last year
- ☆13Updated last year
- official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and…☆66Updated 4 months ago
- ☆23Updated 6 months ago
- ☆70Updated 8 months ago
- Official Repository for ICML 2023 paper "Can Neural Network Memorization Be Localized?"☆19Updated last year
- ☆238Updated last year
- ☆11Updated last year
- Rewarded soups official implementation☆60Updated last year
- Source code for Stable Hadamard Memory☆20Updated 3 months ago
- Parallelizing non-linear sequential models over the sequence length☆53Updated 2 months ago
- Deep Learning & Information Bottleneck☆61Updated 2 years ago
- Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)☆28Updated last year
- ☆18Updated 9 months ago
- A python package providing a benchmark with various specified distribution shift patterns.☆58Updated last year
- ☆46Updated 2 years ago
- Official code for "Decoding-Time Language Model Alignment with Multiple Objectives".☆25Updated 9 months ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆28Updated last year
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆51Updated last year
- ☆33Updated last year
- Lightweight Adapting for Black-Box Large Language Models☆23Updated last year
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆42Updated last year
- Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…☆108Updated last year
- Localizing Memorized Sequences in Language Models☆17Updated 5 months ago