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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/taewonpark/DAM

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Distributed Associative Memory Network with Memory Refreshing Loss

https://github.com/tahmedge/BERT-for-Answer-Selection

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Utilizing Bidirectional Encoder Representations from Transformers for Answer Selection

https://github.com/tahmedge/chart_lvlm_judge

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Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning?

https://github.com/tamlhp/kbqa

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A Comparative Study of Question Answering over Knowledge Bases

https://github.com/tan92hl/complex-question-answering-evaluation-of-chatgpt

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Can ChatGPT Replace Traditional KBQA Models? An In-depth Analysis of the Question Answering Performance of the GPT LLM Family

https://github.com/tan92hl/complex-question-answering-evaluation-of-gpt-family

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Can ChatGPT Replace Traditional KBQA Models? An In-depth Analysis of the Question Answering Performance of the GPT LLM Family

https://github.com/tanchongmin/arc-challenge

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An Approach to Solving the Abstraction and Reasoning Corpus (ARC) Challenge

https://github.com/tanfiona/LLM-on-Tabular-Data-Prediction-Table-Understanding-Data-Generation

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Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey

https://github.com/tanjatang/DMVCR

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Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory

https://github.com/taokz/biomedgpt

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BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks

https://github.com/taolei87/rcnn

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Semi-supervised Question Retrieval with Gated Convolutions

https://github.com/taolusi/chisp

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A Pilot Study for Chinese SQL Semantic Parsing

https://github.com/taoshen58/MaSP

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Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base

https://github.com/taozhen1110/cudrt

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Towards Reliable Detection of LLM-Generated Texts: A Comprehensive Evaluation Framework with CUDRT

https://github.com/tatsu-lab/linguistic_calibration

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Linguistic Calibration of Long-Form Generations

https://github.com/tau-nlp/scrolls

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SCROLLS: Standardized CompaRison Over Long Language Sequences

https://github.com/tayebiarasteh/radiorag

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RadioRAG: Factual large language models for enhanced diagnostics in radiology using online retrieval augmented generation

https://github.com/tbmihailov/semeval2016-task3-CQA

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SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word Embeddings

https://github.com/teacherpeterpan/Unsupervised-Multi-hop-QA

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Unsupervised Multi-hop Question Answering by Question Generation

https://github.com/teacherpeterpan/contraqa

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Attacking Open-domain Question Answering by Injecting Misinformation

https://github.com/teamnlp/typed-rag

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Typed-RAG: Type-aware Multi-Aspect Decomposition for Non-Factoid Question Answering

https://github.com/teapot123/CoRel

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CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring

https://github.com/tech-srl/RASP

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Thinking Like Transformers

https://github.com/technion-cs-nlp/hallucination-mitigation

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Constructing Benchmarks and Interventions for Combating Hallucinations in LLMs

https://github.com/technion-cs-nlp/parametric-faithfulness

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Measuring Faithfulness of Chains of Thought by Unlearning Reasoning Steps

https://github.com/teddy-li/chineseentgraph

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Cross-lingual Inference with A Chinese Entailment Graph

https://github.com/teddy-li/llm-nli-analysis

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Sources of Hallucination by Large Language Models on Inference Tasks

https://github.com/teddy-xionggz/medrag

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Benchmarking Retrieval-Augmented Generation for Medicine

https://github.com/teddy-xionggz/mirage

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Benchmarking Retrieval-Augmented Generation for Medicine

https://github.com/tejasG53/vqa_mutant

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MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering

https://github.com/temphero/heronet

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HeroNet: A Hybrid Retrieval-Generation Network for Conversational Bots

https://github.com/temu-bsc/gpt3-queries

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On the Multilingual Capabilities of Very Large-Scale English Language Models

https://github.com/tencentarc/gvt

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What Makes for Good Visual Tokenizers for Large Language Models?

https://github.com/tensorflow/addons

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Large Batch Optimization for Deep Learning: Training BERT in 76 minutes

https://github.com/tensorflow/addons/blob/master/tensorflow_addons/optimizers/lamb.py

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Large Batch Optimization for Deep Learning: Training BERT in 76 minutes

https://github.com/tensorflow/lingvo

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N-Grammer: Augmenting Transformers with latent n-grams

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