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Natural Language Processing
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Question Answering
4032 directly classified papers
Papers per year
2006: 1
2009: 1
2011: 1
2013: 1
2014: 1
2015: 6
2016: 26
2017: 83
2018: 135
2019: 275
2020: 307
2021: 392
2022: 419
2023: 476
2024: 699
2025: 1036
2026: 173
Papers
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models
EMNLP 2024
Unveiling Narrative Reasoning Limits of Large Language Models with Trope in Movie Synopses
EMNLP 2024
Less is More: Making Smaller Language Models Competent Subgraph Retrievers for Multi-hop KGQA
EMNLP 2024
MedCalc-Bench: Evaluating Large Language Models for Medical Calculations
NIPS 2024
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering
ACL 2024
BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains
ACL 2024
Enhancing Temporal Sensitivity and Reasoning for Time-Sensitive Question Answering
EMNLP 2024
LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments
EMNLP 2024
HIJLI_JU at SemEval-2024 Task 7: Enhancing Quantitative Question Answering Using Fine-tuned BERT Models
SEMEVAL 2024
DeBERTa at SemEval-2024 Task 9: Using DeBERTa for Defying Common Sense
SEMEVAL 2024
H-LegalKI: A Hierarchical Legal Knowledge Integration Framework for Legal Community Question Answering
EMNLP 2024
SaSR-Net: Source-Aware Semantic Representation Network for Enhancing Audio-Visual Question Answering
EMNLP 2024
More Bang for your Context: Virtual Documents for Question Answering over Long Documents
EMNLP 2024
Synthetic Multimodal Question Generation
EMNLP 2024
Knowledge-Aware Reasoning over Multimodal Semi-structured Tables
EMNLP 2024
SPINACH: SPARQL-Based Information Navigation for Challenging Real-World Questions
EMNLP 2024
ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering
EMNLP 2024
Unveiling Implicit Table Knowledge with Question-Then-Pinpoint Reasoner for Insightful Table Summarization
EMNLP 2024
Augmenting Reasoning Capabilities of LLMs with Graph Structures in Knowledge Base Question Answering
EMNLP 2024
Can’t Remember Details in Long Documents? You Need Some R&R
EMNLP 2024
Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA
EMNLP 2024
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models
NIPS 2024
Using LLMs to simulate students’ responses to exam questions
EMNLP 2024
A Framework of Knowledge Graph-Enhanced Large Language Model Based on Question Decomposition and Atomic Retrieval
EMNLP 2024
GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models
EMNLP 2024
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