Experimentation on PRODIGY framework
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Updated
Sep 22, 2023 - Python
Experimentation on PRODIGY framework
This repository contains codes for NLP project "In-context Learning of Pre-trained Language Models for Controlled Dialogue Summarization: A Holistic Benchmark and Empirical Analysis"
Factuality check of the SemRep Predications
Fine-Tuning Text Pre-Trained Transformers to In-Context Learn Simple Function Classes.
Easy in-context learning experiemnts with variety of datasets, LLMs, and example selectors.
Distill knowledge from in-context learning into efficient LoRA adapters, enabling expert LLM performance with smaller context windows.
Python Code Completion bot
This is the official code repository for the ACL Findings Paper "Multi-Task Transfer Matters During Instruction-Tuning"
Official implementation of paper "Improving Few-Shot Performance of Language Models via Nearest Neighbor Calibration"
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
Code for NAACL 2024 "MDR: Model-Specific Demonstration Retrieval at Inference Time for In-Context Learning".
The official implementation of the paper HICL: Hashtag-Driven In-Context Learning for Social Media Natural Language Understanding
Code base of In-Context Learning for Dialogue State tracking
RAG chatbot built on top of trending M&A news.
Pack of LLMs: Model Fusion at Test-Time via Perplexity Optimization
Code of the paper "On the adaptation of in-context learners for system identification" by Dario Piga, Filippo Pura, and Marco Forgione
[Me-FoMo ICLR 2023] Exploring Demonstration Ensembling for In-context Learning
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