KABI (dongguanting)

dongguanting

User data from Github https://github.com/dongguanting

Company:Renmin University of China (RUC)

Location:Beijing, China

Home Page:dongguanting.github.io

GitHub:@dongguanting

KABI's repositories

FollowRAG

The demo, code and data of FollowRAG

DPA-RAG

The code and data of DPA-RAG

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SKP-for-KBQA

The code of CIKM 2023 short paper : Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA

MSDP-Fewshot-NER

The code of CIKM 2023 (Oral Presentation) : A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER

Noise-Slot-Filling-LLM

The Dataset of NLPCC 2023 (Oral Presentation): Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task

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Demo-NSF

The code of EMNLP 2023: DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task

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dongguanting.github.io

KABI's personal page

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open-r1

Fully open reproduction of DeepSeek-R1

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do-research-in-AI

A repository of useful research/skill-upgrading talks or acticles in NLP/CV/AI Area (in Chinese).

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dpa-rag-anonymous

anonymous code for dparag

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FlashRAG

⚡FlashRAG: A Python Toolkit for Efficient RAG Research

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json_repair

A python module to repair invalid JSON, commonly used to parse the output of LLMs

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KnowPAT

[Paper][ACL 2024 Findings] Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering

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LLaVA-CoT

LLaVA-CoT, a visual language model capable of spontaneous, systematic reasoning

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MTU-Bench

MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models

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online_merging_optimizers

Implementations of online merging optimizers proposed by Online Merging Optimizers for Boosting Rewards and Mitigating Tax in Alignment

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RagLLaVA

Official PyTorch Implementation of MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training.

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ReST-MCTS

ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search (NeurIPS 2024)

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Umi-OCR_runtime_linux

Umi-OCR Linux 运行环境

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VISTA_Evaluation_FineTuning

Evaluation code and datasets for the ACL 2024 paper, VISTA: Visualized Text Embedding for Universal Multi-Modal Retrieval. The original code and model can be accessed at FlagEmbedding.

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We-Math

Code and data of We-Math

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