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Question Answering
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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 )
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
City-VLM: Towards Multidomain Perception Scene Understanding via Multimodal Incomplete Learning
Enter the Mind Palace: Reasoning and Planning for Long-term Active Embodied Question Answering
From Roots to Rewards: Dynamic Tree Reasoning with RL
Vision-and-Language Training Helps Deploy Taxonomic Knowledge but Does Not Fundamentally Alter It
Describe Anything Model for Visual Question Answering on Text-rich Images
Is This Just Fantasy? Language Model Representations Reflect Human Judgments of Event Plausibility
Warehouse Spatial Question Answering with LLM Agent
Evaluating Attribute Confusion in Fashion Text-to-Image Generation
LinguaMark: Do Multimodal Models Speak Fairly? A Benchmark-Based Evaluation
MagiC: Evaluating Multimodal Cognition Toward Grounded Visual Reasoning
Barriers in Integrating Medical Visual Question Answering into Radiology Workflows: A Scoping Review and Clinicians' Insights
Enhancing Scientific Visual Question Answering through Multimodal Reasoning and Ensemble Modeling
ReLoop: "Seeing Twice and Thinking Backwards" via Closed-loop Training to Mitigate Hallucinations in Multimodal understanding
AI-VaxGuide: An Agentic RAG-Based LLM for Vaccination Decisions
Agent-Based Detection and Resolution of Incompleteness and Ambiguity in Interactions with Large Language Models
OpenTable-R1: A Reinforcement Learning Augmented Tool Agent for Open-Domain Table Question Answering
L0: Reinforcement Learning to Become General Agents
RAG-R1 : Incentivize the Search and Reasoning Capabilities of LLMs through Multi-query Parallelism
Decoupled Seg Tokens Make Stronger Reasoning Video Segmenter and Grounder
Revisiting CroPA: A Reproducibility Study and Enhancements for Cross-Prompt Adversarial Transferability in Vision-Language Models
LLaVA-Scissor: Token Compression with Semantic Connected Components for Video LLMs
Response Quality Assessment for Retrieval-Augmented Generation via Conditional Conformal Factuality
ComRAG: Retrieval-Augmented Generation with Dynamic Vector Stores for Real-time Community Question Answering in Industry
IPFormer-VideoLLM: Enhancing Multi-modal Video Understanding for Multi-shot Scenes
DrishtiKon: Multi-Granular Visual Grounding for Text-Rich Document Images
SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning
Large Language Model Agent for Modular Task Execution in Drug Discovery
ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees
Semantic-enhanced Modality-asymmetric Retrieval for Online E-commerce Search
SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models
Knowledge-Aware Diverse Reranking for Cross-Source Question Answering
HRIBench: Benchmarking Vision-Language Models for Real-Time Human Perception in Human-Robot Interaction
Memento: Note-Taking for Your Future Self
Towards Probabilistic Question Answering Over Tabular Data
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