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Question Answering

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하위 태스크: 19
평가표: 153
보존된 평가 기록: 1,781

Question answering can be segmented into domain-specific tasks like community question answering and knowledge-base question answering. Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question answering are typically evaluated on metrics like EM and F1. Some recent top performing models are T5 and XLNet.

( Image credit: SQuAD )

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/zero-pointer/self-evolution

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Enhanced Fine-Tuning of Lightweight Domain-Specific Q&A Model Based on Large Language Models

https://github.com/zetaalphavector/ragelo

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Evaluating RAG-Fusion with RAGElo: an Automated Elo-based Framework

https://github.com/zfying/visfis

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VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason Objectives

https://github.com/zh1yushen/hopweaver

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HopWeaver: Synthesizing Authentic Multi-Hop Questions Across Text Corpora

https://github.com/zh460045050/v2l-tokenizer

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Beyond Text: Frozen Large Language Models in Visual Signal Comprehension

https://github.com/zhang-yu-wei/inbedder

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Answer is All You Need: Instruction-following Text Embedding via Answering the Question

https://github.com/zhangbaijin/From-Redundancy-to-Relevance

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From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks

https://github.com/zhangbin-ai/apl

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Object-aware Adaptive-Positivity Learning for Audio-Visual Question Answering

https://github.com/zhangleye/Bridge-LLM-QA

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Question answering system of bridge design specification based on large language model

https://github.com/zhangr2021/TransProQA

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LiTransProQA: an LLM-based Literary Translation evaluation metric with Professional Question Answering

https://github.com/zhangxinsong-nlp/XFM

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Toward Building General Foundation Models for Language, Vision, and Vision-Language Understanding Tasks

https://github.com/zhangxj199/tinyllava-video-r1

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TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning

https://github.com/zhangyan-ucas/TEA

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Track the Answer: Extending TextVQA from Image to Video with Spatio-Temporal Clues

https://github.com/zhangyuanhan-ai/bamboo

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Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy

https://github.com/zhangzhao219/wsdm-cup-2024

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The First Place Solution of WSDM Cup 2024: Leveraging Large Language Models for Conversational Multi-Doc QA

https://github.com/zhangzjn/gpt-4v-ad

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GPT-4V-AD: Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection

https://github.com/zhanyang-nwpu/rsvg-pytorch

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RSVG: Exploring Data and Models for Visual Grounding on Remote Sensing Data

https://github.com/zhaochen0110/cotempqa

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Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?

https://github.com/zhaochen0110/timo

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Timo: Towards Better Temporal Reasoning for Language Models

https://github.com/zhaohengyuan1/genixer

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Genixer: Empowering Multimodal Large Language Models as a Powerful Data Generator

https://github.com/zhaoshitian/Likelihood-Composition-Toolkit

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Unleashing the Potentials of Likelihood Composition for Multi-modal Language Models

https://github.com/zhaowc-ustc/tabpedia

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TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy

https://github.com/zhaozj89/Educational-Question-Generation

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Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-Centric Summarization

https://github.com/zhegan27/LXMERT-AdvTrain

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Large-Scale Adversarial Training for Vision-and-Language Representation Learning

https://github.com/zhegan27/VILLA

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Large-Scale Adversarial Training for Vision-and-Language Representation Learning

https://github.com/zhengchen1999/grounding-iqa

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Grounding-IQA: Multimodal Language Grounding Model for Image Quality Assessment

https://github.com/zhengl00/rex-got

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Reverse Multi-Choice Dialogue Commonsense Inference with Graph-of-Thought

https://github.com/zhenhuan-yang/simple-pairwise

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Simple Stochastic and Online Gradient DescentAlgorithms for Pairwise Learning

https://github.com/zhenjia2017/exaqt

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Complex Temporal Question Answering on Knowledge Graphs

https://github.com/zhenv5/QDEE

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QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites

https://github.com/zhenwen-nlp/mathchat

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MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions

https://github.com/zhichaoxu-shufe/semantic-enhanced-bper

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Learning to Rank Rationales for Explainable Recommendation

https://github.com/zhilingyan/gpt4v-medical-report

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Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V

https://github.com/zhiwenyou103/plainqafact

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PlainQAFact: Automatic Factuality Evaluation Metric for Biomedical Plain Language Summaries Generation

https://github.com/zhiyuanhubj/long_form_videoqa

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Encoding and Controlling Global Semantics for Long-form Video Question Answering

https://github.com/zhiyuanpeng/eloq

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ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope Questions

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