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Official repository of In-Context LoRA for Diffusion Transformers
A course on aligning smol models.
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
"Graph Convolutions Enrich the Self-Attention in Transformers!" NeurIPS 2024
Simple, unified interface to multiple Generative AI providers
Active Example Selection for In-Context Learning (EMNLP'22)
LLMs as Method Actors: A Model for Prompt Engineering and Architecture
[EMNLP 2024 Main] Official implementation of the paper "Unveiling In-Context Learning: A Coordinate System to Understand Its Working Mechanism". (by Anhao Zhao)
Code for 'In-Context Learning Learns Label Relationships but Is Not Conventional Learning'.
code for EMNLP 2024 paper: How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning
Source code for paper Are Human-generated Demonstrations Necessary for In-context Learning
Clustering & Time Series Forecasting of Milan's Telecommunication data
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Official repository for ICLR 2024 Spotlight paper "Large Language Models Are Not Robust Multiple Choice Selectors"
A codebase for ACL 2023 paper: Mitigating Label Biases for In-context Learning
a combination of probabilistic forecasting of time series and optimal timing model
Code and Data for "MIRAI: Evaluating LLM Agents for Event Forecasting"
Bayesian Low-Rank Adaptation for Large Language Models