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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/phoebussi/compress-robust-vqa

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Compressing And Debiasing Vision-Language Pre-Trained Models for Visual Question Answering

https://github.com/phoebussi/mmbs

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Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning

https://github.com/phoebussi/thinking-while-observing

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Combo of Thinking and Observing for Outside-Knowledge VQA

https://github.com/phoebussi/vqa-vs

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Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA

https://github.com/phyllisayk/nlp-efficiency-tradeoff

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Characterizing the Efficiency vs. Accuracy Trade-off for Long-Context NLP Models

https://github.com/picsart-ai-research/openbias

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OpenBias: Open-set Bias Detection in Text-to-Image Generative Models

https://github.com/pillowsofwind/debateqa

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DebateQA: Evaluating Question Answering on Debatable Knowledge

https://github.com/pinocchio42/pinose

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Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking

https://github.com/pipiku915/FinMem-LLM-StockTrading/blob/main/README.md

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FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design

https://github.com/pipiku915/finmem-llm-stocktrading

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FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design

https://github.com/pkasela/SY_SE-PQA

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Synthetic Data Generation with Large Language Models for Personalized Community Question Answering

https://github.com/pkasela/desire-me

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DESIRE-ME: Domain-Enhanced Supervised Information REtrieval using Mixture-of-Experts

https://github.com/pkasela/se-pqa

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SE-PQA: Personalized Community Question Answering

https://github.com/pkhdipraja/in-context-atlas

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The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation

https://github.com/pkscanvas/roundtable

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RoundTable: Leveraging Dynamic Schema and Contextual Autocomplete for Enhanced Query Precision in Tabular Question Answering

https://github.com/pku-icst-mipl/finedefics_iclr2025

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Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language Models

https://github.com/pku-yuangroup/chat-univi

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Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding

https://github.com/pku-yuangroup/video-bench

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Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models

https://github.com/pku0xff/cc-riddle

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CC-Riddle: A Question Answering Dataset of Chinese Character Riddles

https://github.com/pkulcwmzx/knowledge-boundary

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Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation

https://github.com/pl8787/Match-Ignition

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Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching

https://github.com/pladifes/climate_finance_bench

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Climate Finance Bench

https://github.com/plageon/slimplm

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Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs

https://github.com/pluslabnlp/acquired

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ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos

https://github.com/pluslabnlp/econet

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ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning

https://github.com/pluslabnlp/ester

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ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation Reasoning

https://github.com/pluslabnlp/zero_shot_cqa

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Zero-shot Commonsense Question Answering with Cloze Translation and Consistency Optimization

https://github.com/pmichel31415/P-DRO

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Learning Neural Models for Natural Language Processing in the Face of Distributional Shift

https://github.com/pnborchert/flare

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Language Fusion for Parameter-Efficient Cross-lingual Transfer

https://github.com/posuer/social-commonsense-knolwedge

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Semantic Categorization of Social Knowledge for Commonsense Question Answering

https://github.com/potsawee/mqag0

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MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization

https://github.com/prajjwal1/rl_paradigm

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When should we prefer Decision Transformers for Offline Reinforcement Learning?

https://github.com/prakash-aryan/qwen-arabic-project

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Resource-Aware Arabic LLM Creation: Model Adaptation, Integration, and Multi-Domain Testing

https://github.com/pramodkaushik/acl18_results

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Did the Model Understand the Question?

https://github.com/prasanns/rlhf-length-biases

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A Long Way to Go: Investigating Length Correlations in RLHF

https://github.com/prdwb/attentive_history_selection

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Attentive History Selection for Conversational Question Answering

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