KABI (dongguanting)

dongguanting

Geek Repo

Company:Renmin University of China

Location:Beijing, China

Home Page:https://dongguanting.github.io/

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KABI's repositories

In-Context-Learning_PaperList

Paper List for In-context Learning 🌷

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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awesome_LLMs_interview_notes

LLMs interview notes and answers:该仓库主要记录大模型(LLMs)算法工程师相关的面试题和参考答案

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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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bigcode-evaluation-harness

A framework for the evaluation of autoregressive code generation language models.

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ChatKBQA

ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models

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InstructERC

The offical realization of InstructERC

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ParsingDST

Semantic Parsing by Large Language Models for Intricate Updating Strategies of Zero-Shot Dialogue State Tracking

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acl-style-files

Official style files for papers submitted to venues of the Association for Computational Linguistics

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Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

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codellama

Inference code for CodeLlama models

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filco

[Preprint] Learning to Filter Context for Retrieval-Augmented Generaton

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FLARE

Forward-Looking Active REtrieval-augmented generation (FLARE)

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google-research

Google Research

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hillzhang1999.github.io

My personal page

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INTERS

This is the repository for our paper "INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning"

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LLM-scientific-feedback

Can large language models provide useful feedback on research papers? A large-scale empirical analysis.

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LLM4IR-Survey

This is the repo for the survey of LLM4IR.

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representation-engineering

Representation Engineering: A Top-Down Approach to AI Transparency

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Video-LLaVA

Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

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