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/beerqa/irrr

공식 코드

Answering Open-Domain Questions of Varying Reasoning Steps from Text

https://github.com/believewhat/JMLR-Joint-Medical-LLM-and-Retrieval-Training

공식 코드

JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability

https://github.com/belindal/LaMPP

공식 코드

LaMPP: Language Models as Probabilistic Priors for Perception and Action

https://github.com/benbogin/glt-grounded-latent-trees-qa

공식 코드

Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering

https://github.com/benjamin-reichman/sensorqa

공식 코드

SensorQA: A Question Answering Benchmark for Daily-Life Monitoring

https://github.com/benradford/few-shot-upsampling-for-protest-size-detection

공식 코드

Few-Shot Upsampling for Protest Size Detection

https://github.com/benywon/ChiQA

공식 코드

ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding

https://github.com/benywon/ComQA

공식 코드

ComQA:Compositional Question Answering via Hierarchical Graph Neural Networks

https://github.com/benywon/ReCO

공식 코드

ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion

https://github.com/bernardoleite/fairytaleqa-translated

공식 코드

FairytaleQA Translated: Enabling Educational Question and Answer Generation in Less-Resourced Languages

https://github.com/bernhard2202/adaptive-ir-for-qa

공식 코드

Adaptive Document Retrieval for Deep Question Answering

https://github.com/bernhard2202/qa-annotation

공식 코드

Learning a Cost-Effective Annotation Policy for Question Answering

https://github.com/bernhard2202/rankqa

공식 코드

RankQA: Neural Question Answering with Answer Re-Ranking

https://github.com/betswish/mirage

공식 코드

Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation

https://github.com/bflashcp3f/synthetic-clinical-qa

공식 코드

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA

https://github.com/bgGLUE/bgglue

공식 코드

bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark

https://github.com/bgglue/bgglue.github.io

공식 코드

bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark

https://github.com/bhanukamanesha/ramen

공식 코드

Improved RAMEN: Towards Domain Generalization for Visual Question Answering

https://github.com/bhaweshiitk/conformalllm

공식 코드

Conformal Prediction with Large Language Models for Multi-Choice Question Answering

https://github.com/bhi-research/ava_mdetr

공식 코드

Exploring Modulated Detection Transformer as a Tool for Action Recognition in Videos

https://github.com/bibisbar/LLaVA-Steering

공식 코드

LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering

https://github.com/bids-xu-lab/biomedical-nlp-benchmarks

공식 코드

Benchmarking large language models for biomedical natural language processing applications and recommendations

https://github.com/bigai-nlco/loogle

공식 코드

LooGLE: Can Long-Context Language Models Understand Long Contexts?

https://github.com/bigai-nlco/lstp-chat

공식 코드

Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding Bridge

https://github.com/bigai-nlco/videotgb

공식 코드

Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding Bridge

https://github.com/bigganbing/Fairseq_MorphTE

공식 코드

MorphTE: Injecting Morphology in Tensorized Embeddings

https://github.com/bigml-cs-ucla/sas-data-efficient-contrastive-learning

공식 코드

Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least

https://github.com/bigscience-workshop/xmtf

공식 코드

Crosslingual Generalization through Multitask Finetuning

https://github.com/billhhh/krpo_llms_rl

공식 코드

Kalman Filter Enhanced GRPO for Reinforcement Learning-Based Language Model Reasoning

https://github.com/biluyong/cityeqa

공식 코드

CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space

https://github.com/bin123apple/macm

공식 코드

MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems

https://github.com/biomistral/biomistral

공식 코드

BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains

https://github.com/bionlproc/instance-adapted-re

공식 코드

Relation Extraction with Instance-Adapted Predicate Descriptions

https://github.com/bionlproc/twitter-covid-qa-extraction

공식 코드

COVID-19 event extraction from Twitter via extractive question answering with continuous prompts

https://github.com/bioplanner/bioplanner

공식 코드

BioPlanner: Automatic Evaluation of LLMs on Protocol Planning in Biology

https://github.com/biplob1ly/HybridPQA

공식 코드

Efficient and Interpretable Information Retrieval for Product Question Answering with Heterogeneous Data

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