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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/emanuelevivoli/awesome-comics-understanding

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One missing piece in Vision and Language: A Survey on Comics Understanding

https://github.com/embedded-robotics/path-rag

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Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering

https://github.com/embodied-generalist/embodied-generalist

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An Embodied Generalist Agent in 3D World

https://github.com/emcarrami/pika

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PQA: Zero-shot Protein Question Answering for Free-form Scientific Enquiry with Large Language Models

https://github.com/emma1066/zero-shot-ner-with-chatgpt

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Empirical Study of Zero-Shot NER with ChatGPT

https://github.com/emorynlp/selqa

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SelQA: A New Benchmark for Selection-based Question Answering

https://github.com/emrQA/bionlp_acl20

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Entity-Enriched Neural Models for Clinical Question Answering

https://github.com/endlinc/llava-spacesgg

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LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations

https://github.com/endrikacupaj/CARTON

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Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge Graphs

https://github.com/endrikacupaj/LASAGNE

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Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks

https://github.com/endrikacupaj/VOGUE

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VOGUE: Answer Verbalization through Multi-Task Learning

https://github.com/endrikacupaj/praline

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Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphs

https://github.com/engindeniz/vitis

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Zero-Shot and Few-Shot Video Question Answering with Multi-Modal Prompts

https://github.com/ensec-ai/vlm-uncertainty-bench

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Uncertainty-Aware Evaluation for Vision-Language Models

https://github.com/epfllm/meditron

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MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

https://github.com/epfllm/megatron-llm

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Sailor: Open Language Models for South-East Asia

https://github.com/eranhirs/sentence_union_generation

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Revisiting Sentence Union Generation as a Testbed for Text Consolidation

https://github.com/eric-ai-lab/llm_coordination

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LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models

https://github.com/eric-ai-lab/probmed

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Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA

https://github.com/ericlee8/multi-party-dialogue-mrc

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Self- and Pseudo-self-supervised Prediction of Speaker and Key-utterance for Multi-party Dialogue Reading Comprehension

https://github.com/ermongroup/teochat

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TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

https://github.com/ernie-research/ma-rlhf

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MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions

https://github.com/erobic/bias-mitigators

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Are Bias Mitigation Techniques for Deep Learning Effective?

https://github.com/erobic/negative_analysis_of_grounding

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Visual Grounding Methods for VQA are Working for the Wrong Reasons!

https://github.com/erobic/ramen

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Answer Them All! Toward Universal Visual Question Answering Models

https://github.com/esdurmus/summary-faithfulness

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FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization

https://github.com/etalab/piaf

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Project PIAF: Building a Native French Question-Answering Dataset

https://github.com/eternityyw/llm_healthcare

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Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding

https://github.com/eth-lre/pedagogicalrl

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From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning

https://github.com/eth-nlped/scaffolding-generation

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Automatic Generation of Socratic Subquestions for Teaching Math Word Problems

https://github.com/eth-sri/chatprotect

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Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

https://github.com/ethanbradley/synfintabgen

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SynFinTabs: A Dataset of Synthetic Financial Tables for Information and Table Extraction

https://github.com/ethanjperez/convince

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Finding Generalizable Evidence by Learning to Convince Q&A Models

https://github.com/ethanleo-lyx/llmqa

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Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answering

https://github.com/eujhwang/meme-cap

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MemeCap: A Dataset for Captioning and Interpreting Memes

https://github.com/eunseongc/mgfid

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Multi-Granularity Guided Fusion-in-Decoder

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