[NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"

SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

A BERT model for scientific text.

Data and code for NeurIPS 2022 Paper "Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering".

Data and code for "DocPrompting: Generating Code by Retrieving the Docs" @ICLR 2023

Findings of ACL'2023: Optimizing Test-Time Query Representations for Dense Retrieval

【ICLR 2024, Spotlight】Sentence-level Prompts Benefit Composed Image Retrieval

E5-V: Universal Embeddings with Multimodal Large Language Models

CaMML:Context-Aware MultiModal Learner for Large Models (ACL 2024)

Repository for the paper: 500xCompressor: Generalized Prompt Compression for Large Language Models

[ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales

[ICLR 2024] Efficient Streaming Language Models with Attention Sinks

Benchmarking LLMs via Uncertainty Quantification

Code for the paper "On Context Utilization in Summarization with Large Language Models" (ACL 2024)