Papers with Code 아카이브

Question Answering

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

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/HLR/Cross_Modality_Relevance

공식 코드

Cross-Modality Relevance for Reasoning on Language and Vision

https://github.com/HLR/LatentAlignmentProcedural

공식 코드

Latent Alignment of Procedural Concepts in Multimodal Recipes

https://github.com/HLR/SRLGRN

공식 코드

SRLGRN: Semantic Role Labeling Graph Reasoning Network

https://github.com/HLR/SpartQA_generation

공식 코드

SpartQA: : A Textual Question Answering Benchmark for Spatial Reasoning

https://github.com/HLR/TSLM

공식 코드

Time-Stamped Language Model: Teaching Language Models to Understand the Flow of Events

https://github.com/HLTCHKUST/CAiRE-COVID

공식 코드

CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information Management

https://github.com/HLTCHKUST/QFS

공식 코드

Improve Query Focused Abstractive Summarization by Incorporating Answer Relevance

https://github.com/HSLCY/ABSA-BERT-pair

공식 코드

Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence

https://github.com/Hang422/causal-thought-graph

공식 코드

Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMs

https://github.com/HaochenLiu2000/QAP

공식 코드

Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models

https://github.com/Hi-ZenanXu/Syntax-Enhanced_Pre-trained_Model

공식 코드

Syntax-Enhanced Pre-trained Model

https://github.com/HongyangLL/M3-JEPA

공식 코드

M3-Jepa: Multimodal Alignment via Multi-directional MoE based on the JEPA framework

https://github.com/HooRin/AuditWen

공식 코드

AuditWen:An Open-Source Large Language Model for Audit

https://github.com/HornHehhf/PABI

공식 코드

Foreseeing the Benefits of Incidental Supervision

https://github.com/Hoyyyaard/LSceneLLM

공식 코드

LSceneLLM: Enhancing Large 3D Scene Understanding Using Adaptive Visual Preferences

https://github.com/Hritikbansal/medmax

공식 코드

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants

https://github.com/HumanMLLM/LLaVA-Scissor

공식 코드

LLaVA-Scissor: Token Compression with Semantic Connected Components for Video LLMs

https://github.com/HyeonwooNoh/vqa_task_discovery

공식 코드

Transfer Learning via Unsupervised Task Discovery for Visual Question Answering

https://github.com/Hyu-Zhang/ISR

공식 코드

Uncovering Hidden Connections: Iterative Search and Reasoning for Video-grounded Dialog

https://github.com/IAAR-Shanghai/Meta-Chunking

공식 코드

Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perception

https://github.com/IAAR-Shanghai/QAEncoder

공식 코드

QAEncoder: Towards Aligned Representation Learning in Question Answering System

https://github.com/IBM/AITQA

공식 코드

AIT-QA: Question Answering Dataset over Complex Tables in the Airline Industry

https://github.com/IBM/Graph2Tree

공식 코드

Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem

https://github.com/IBM/LNN

공식 코드

LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking

https://github.com/IBM/SAX/tree/main/NLP4BPM2024

공식 코드

Towards a Benchmark for Causal Business Process Reasoning with LLMs

https://github.com/IBM/bridging-resolution

공식 코드

Bridging Anaphora Resolution as Question Answering

https://github.com/IBM/document2slides

공식 코드

D2S: Document-to-Slide Generation Via Query-Based Text Summarization

https://github.com/IBM/kbqa-relation-linking

공식 코드

Leveraging Semantic Parsing for Relation Linking over Knowledge Bases

https://github.com/IBM/ne-table-datasets

공식 코드

NE-Table: A Neural key-value table for Named Entities

https://github.com/IBM/row-column-intersection

공식 코드

Capturing Row and Column Semantics in Transformer Based Question Answering over Tables

https://github.com/IBM/span-selection-pretraining

공식 코드

Span Selection Pre-training for Question Answering

https://github.com/IBM/transition-amr-parser

공식 코드

Pushing the Limits of AMR Parsing with Self-Learning

https://github.com/IBM/wikicausal

공식 코드

WikiCausal: Corpus and Evaluation Framework for Causal Knowledge Graph Construction

https://github.com/IDEA-FinAI/LongFaith

공식 코드

LongFaith: Enhancing Long-Context Reasoning in LLMs with Faithful Synthetic Data

https://github.com/IGLU-CHISTERA/CLEAR-dataset-generation

공식 코드

CLEAR: A Dataset for Compositional Language and Elementary Acoustic Reasoning

https://github.com/INK-USC/HGN

공식 코드

Learning Contextualized Knowledge Structures for Commonsense Reasoning

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.