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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/rmit-ir/clef2019-prosody

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Prosody Modifications for Question-Answering in Voice-Only Settings

https://github.com/robertcsordas/dnc

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Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control

https://github.com/robin-karlsson0/predictive-world-models

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Predictive World Models from Real-World Partial Observations

https://github.com/robinzixuan/Video-Question-Answering-HRI

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Open-Ended Multi-Modal Relational Reasoning for Video Question Answering

https://github.com/robot2050/attenhscore

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Invoke Interfaces Only When Needed: Adaptive Invocation for Large Language Models in Question Answering

https://github.com/robotics-upo/og-sgg

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OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer Learning for Telepresence Robotics

https://github.com/rochesterxugroup/DSGPM

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Graph Neural Network Based Coarse-Grained Mapping Prediction

https://github.com/rochesterxugroup/HAM_dataset

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Graph Neural Network Based Coarse-Grained Mapping Prediction

https://github.com/roemmele/answerquest

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AnswerQuest: A System for Generating Question-Answer Items from Multi-Paragraph Documents

https://github.com/rohit901/VANE-Bench

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VANE-Bench: Video Anomaly Evaluation Benchmark for Conversational LMMs

https://github.com/rominaoji/german-language-adapter

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How to Tune a Multilingual Encoder Model for Germanic Languages: A Study of PEFT, Full Fine-Tuning, and Language Adapters

https://github.com/rookiezxy/gbtl

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Learning to Poison Large Language Models for Downstream Manipulation

https://github.com/rowitzou/dc-match

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Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents

https://github.com/roymiles/ITRD

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Information Theoretic Representation Distillation

https://github.com/rpartsey/pointgoal-navigation

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Is Mapping Necessary for Realistic PointGoal Navigation?

https://github.com/rsinghlab/ovo

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One-Versus-Others Attention: Scalable Multimodal Integration for Biomedical Data

https://github.com/rstless-research/fauno-italian-llm

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Fauno: The Italian Large Language Model that will leave you senza parole!

https://github.com/rsvp-ai/bertserini

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End-to-End Open-Domain Question Answering with BERTserini

https://github.com/rubenpt91/MP-DocVQA-Framework

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Hierarchical multimodal transformers for Multi-Page DocVQA

https://github.com/ruc-nlpir/genir-survey

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From Matching to Generation: A Survey on Generative Information Retrieval

https://github.com/ruc-nlpir/llm4ir-survey

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Large Language Models for Information Retrieval: A Survey

https://github.com/rucaibox/bamboo

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BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models

https://github.com/rucaibox/lamoc

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Zero-shot Visual Question Answering with Language Model Feedback

https://github.com/rucaibox/llm-knowledge-boundary

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Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

https://github.com/rucaibox/rear

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REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering

https://github.com/rucaibox/rlmec

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Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint

https://github.com/rucaibox/structgpt

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StructGPT: A General Framework for Large Language Model to Reason over Structured Data

https://github.com/rucaibox/unikgqa

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UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph

https://github.com/ruckbreasoning/subgraphretrievalkbqa

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Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering

https://github.com/rui9812/knowtrace

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KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing

https://github.com/ruijie-wang-uzh/NLQxform

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NLQxform: A Language Model-based Question to SPARQL Transformer

https://github.com/ruijie-wang-uzh/QAGCN

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QAGCN: Answering Multi-Relation Questions via Single-Step Implicit Reasoning over Knowledge Graphs

https://github.com/ruijie-wang-uzh/gnn2r

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GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge Graphs

https://github.com/ruiqi-zhong/Meta-tuning

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Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections

https://github.com/rulegreen/cue-cot

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Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs

https://github.com/rulegreen/dialogue_cot

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Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs

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