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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/dz-osamu/UMIT

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UMIT: Unifying Medical Imaging Tasks via Vision-Language Models

https://github.com/e-bug/iglue

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IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages

https://github.com/e-bug/volta

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IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages

https://github.com/e184633/semantic-answer-similarity

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Evaluation of Semantic Answer Similarity Metrics

https://github.com/easonnie/semanticRetrievalMRS

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Revealing the Importance of Semantic Retrieval for Machine Reading at Scale

https://github.com/echostatements/decompose

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A Unified Theory of Diversity in Ensemble Learning

https://github.com/ecnu-dase-nlp/rqp

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Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question Prompts

https://github.com/ecnu-text-computing/dcs

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Dynamic Chunking and Selection for Reading Comprehension of Ultra-Long Context in Large Language Models

https://github.com/ecofri/cxr_llava

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CXR-LLAVA: a multimodal large language model for interpreting chest X-ray images

https://github.com/edchengg/easyproject

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Frustratingly Easy Label Projection for Cross-lingual Transfer

https://github.com/edchengg/infoseek_eval

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Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

https://github.com/edinburghnlp/spice

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Semantic Parsing for Conversational Question Answering over Knowledge Graphs

https://github.com/edisonni-hku/mtl4finance

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When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP

https://github.com/edward-sun/recite

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Recitation-Augmented Language Models

https://github.com/efficient-large-model/vila

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VILA: On Pre-training for Visual Language Models

https://github.com/egeozsoy/LF-SGG

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Location-Free Scene Graph Generation

https://github.com/egoschema/egoschema

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EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding

https://github.com/ehsk/openqa-eval

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Evaluating Open-Domain Question Answering in the Era of Large Language Models

https://github.com/ekinakyurek/lexsym

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Compositionality as Lexical Symmetry

https://github.com/ekonwang/rrescue

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Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation

https://github.com/elad-amrani/ssml

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Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning

https://github.com/eladsegal/strategyqa

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Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies

https://github.com/eladsegal/tag-based-multi-span-extraction

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A Simple and Effective Model for Answering Multi-span Questions

https://github.com/elehman16/discq

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Learning to Ask Like a Physician

https://github.com/eleutherai/gpt-neox

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Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

https://github.com/eleutherai/pythia

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Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

https://github.com/elkabzo/cont_disc_opt_dnn

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Continuous vs. Discrete Optimization of Deep Neural Networks

https://github.com/ellaneeman/disent_qa

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DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering

https://github.com/ellenmellon/ReQuest

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Indirect Supervision for Relation Extraction using Question-Answer Pairs

https://github.com/ellenmellon/inscit

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INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions

https://github.com/ellenzhuwang/VK_OOD

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Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis

https://github.com/elliottyan/refutebench

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RefuteBench: Evaluating Refuting Instruction-Following for Large Language Models

https://github.com/elviswxy/Gen-IR_PSPT

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Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language Models

https://github.com/elviswxy/LVLM_fairness

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Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts

https://github.com/elviswxy/rag_fairness

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Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems

https://github.com/emalach/IsDeeperBetter

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Is Deeper Better only when Shallow is Good?

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