Specify what you want it to build, the AI asks for clarification, and then builds it.

Large datasets for conversational AI

🌲 Code for our EMNLP 2023 paper - 🎄 "Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models"

This is a repository for sharing papers in the field of empathetic conversational AI. The related source code for each paper is linked if available.

ClariQ: SCAI Workshop data challenge on conversational search clarification.

Proactive Dialogue Systems - Paper Reading List

AvaTaR: Optimizing LLM Agents for Tool-Assisted Knowledge Retrieval (https://arxiv.org/abs/2406.11200)

Forward-Looking Active REtrieval-augmented generation (FLARE)

The official implementation of the ICML 2024 paper "MemoryLLM: Towards Self-Updatable Large Language Models"

STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases (https://stark.stanford.edu/)

All things prompt engineering

Early release of the official implementation for "GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts"

Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.

All-In-One VLM: Image + Video + Transfer to Other Languages / Domains (TPAMI 2023)

Flickr30K Entities Dataset

AgentTuning: Enabling Generalized Agent Abilities for LLMs

[NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning

[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models

Repository for G-Retriever

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference,…

Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.

Dataset and code for EMNLP2020 paper "HybridQA: A Dataset of Multi-Hop Question Answeringover Tabular and Textual Data"

Data and Code for ICLR2020 Paper "TabFact: A Large-scale Dataset for Table-based Fact Verification"

A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)

This is the repo for the survey of LLM4IR.

We introduce new zero-shot prompting magic words that improves the reasoning ability of language models: panel discussion!