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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/kazutoshishinoda/synonym-replacement

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Can Question Generation Debias Question Answering Models? A Case Study on Question-Context Lexical Overlap

https://github.com/kbressem/longhealth

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LongHealth: A Question Answering Benchmark with Long Clinical Documents

https://github.com/kdu4108/context-vs-prior-finetuning

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Controllable Context Sensitivity and the Knob Behind It

https://github.com/keanudicap/MSQA

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Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering

https://github.com/keep-smile-001/opentqa

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XTQA: Span-Level Explanations of the Textbook Question Answering

https://github.com/kennymckormick/Triplet-Representation-of-human-Body

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TRB: A Novel Triplet Representation for Understanding 2D Human Body

https://github.com/kenshohara/3D-ResNets-PyTorch

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Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?

https://github.com/kepei1106/decompeval

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DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering

https://github.com/kevinduh/san_mrc

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Stochastic Answer Networks for SQuAD 2.0

https://github.com/kevinliang888/ivr-qa-baselines

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Simple Baselines for Interactive Video Retrieval with Questions and Answers

https://github.com/kevinsrr/unicmr

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Towards End-to-End Open Conversational Machine Reading

https://github.com/kevinwu23/stanfordclasheval

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ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence

https://github.com/kevivk/mwp_adversarial

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Adversarial Examples for Evaluating Math Word Problem Solvers

https://github.com/kfirgoldberg/ConceptLab

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ConceptLab: Creative Concept Generation using VLM-Guided Diffusion Prior Constraints

https://github.com/kgqa/leaderboard

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Knowledge Graph Question Answering Leaderboard: A Community Resource to Prevent a Replication Crisis

https://github.com/khalilmrini/medical-question-answering

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Medical Question Understanding and Answering with Knowledge Grounding and Semantic Self-Supervision

https://github.com/khanhnguyen21006/mia_docvqa

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DocMIA: Document-Level Membership Inference Attacks against DocVQA Models

https://github.com/khloud-al/arnli

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ArNLI: Arabic Natural Language Inference for Entailment and Contradiction Detection

https://github.com/kimdanny/human-tot-query-elicitation-mturk

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Tip of the Tongue Query Elicitation for Simulated Evaluation

https://github.com/kimdanny/llm-tot-query-elicitation

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Tip of the Tongue Query Elicitation for Simulated Evaluation

https://github.com/kimihiroh/promqa

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ProMQA: Question Answering Dataset for Multimodal Procedural Activity Understanding

https://github.com/kimiyoung/fg-gating

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Words or Characters? Fine-grained Gating for Reading Comprehension

https://github.com/kimyuji/evolvingqa_benchmark

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Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models

https://github.com/kipok/nemo-skills

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OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

https://github.com/kiv-air/mqdd

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MQDD: Pre-training of Multimodal Question Duplicity Detection for Software Engineering Domain

https://github.com/kiv-air/stackoverflowdataset

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MQDD: Pre-training of Multimodal Question Duplicity Detection for Software Engineering Domain

https://github.com/kkahatapitiya/langrepo

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Language Repository for Long Video Understanding

https://github.com/kkskp/re-rag

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RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation

https://github.com/kkteru/grail

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Inductive Relation Prediction by Subgraph Reasoning

https://github.com/klauscc/dam

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DAM: Dynamic Adapter Merging for Continual Video QA Learning

https://github.com/klauscc/vindlu

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VindLU: A Recipe for Effective Video-and-Language Pretraining

https://github.com/klogar/qaslovene

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Unified Question Answering in Slovene

https://github.com/kmatton/walk-the-talk

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Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations

https://github.com/kmc0207/Stableprompt

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StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language Models

https://github.com/kmswin1/qpaug

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QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs

https://github.com/knowlab/halt-medvqa

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Hallucination Benchmark in Medical Visual Question Answering

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