hitsz-tmg Goto Github PK

atg-po

awesome-llm-attributions

A Survey of Attributions for Large Language Models

awesome-llm-reader

cognitive-visual-language-mapper

The codes and datasets about our ACL 2024 Main Conference paper titled "Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge Alignment"

debatearena

dialogue_readinglist

explainablevisualentailment

explaincpe

ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination

ext-sub

Official implementation of our paper "Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation". A model merge method for deficiency unlearning, compitable with huggingface peft (LoRA).

gemel

Official implementation of our LREC-COLING 2024 paper "Generative Multimodal Entity Linking".

glyphbert

This project page is about the pytorch code implementation of GlyphBERT by the HITsz-TMG research group.

hansel

Code and data of WSDM 2023 paper "Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark".

icl-state-vector

medpir

mekb-sim

multi-agent-peer-review

Official implementation of our ArXiv paper "Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration".

multimodal

multimodal-in-context-tuning

The codes and datasets about LREC-COLING 2024: A Multimodal In-context Tuning Approach for E-Commerce Product Description Generation

ppat

PPAT: Progressive Graph Pairwise Attention Network for Event Causality Identification

prompt-bioel

Code and data of AAAI 2023 paper "Improving Biomedical Entity Linking with Cross-Entity Interaction".

read-and-select

Code of "A Read-and-Select Framework for Zero-shot Entity Linking" (EMNLP 2023 Findings).

reasoning_readinglist

skurg

sparse-retrieval-fewshot-el

Code of EMNLP 2023 paper "Revisiting Sparse Retrieval for Few-shot Entity Linking".

truthreader-document-assistant

umoe-scaling-unified-multimodal-llms

The codes about "Uni-MoE: Scaling Unified Multimodal Models with Mixture of Experts"

visiongraph

The benchmark and datasets of the ICML 2024 paper "VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context"