← Applications
Natural Language Processing › Applications ›

Question Answering

4032 directly classified papers

Papers per year

Papers

DICE-BENCH: Evaluating the Tool-Use Capabilities of Large Language Models in Multi-Round, Multi-Party Dialogues ACL 2025
Overview of the ClinIQLink 2025 Shared Task on Medical Question-Answering ACL 2025
CPIQA: Climate Paper Image Question Answering Dataset for Retrieval-Augmented Generation with Context-based Query Expansion ACL 2025
SECQUE: A Benchmark for Evaluating Real-World Financial Analysis Capabilities ACL 2025
AVAM: a Universal Training-free Adaptive Visual Anchoring Embedded into Multimodal Large Language Model for Multi-image Question Answering ICCV 2025
Planning for Success: Exploring LLM Long-term Planning Capabilities in Table Understanding CONLL 2025
ETVA: Evaluation of Text-to-Video Alignment via Fine-grained Question Generation and Answering ICCV 2025
Ask and Remember: A Questions-Only Replay Strategy for Continual Visual Question Answering ICCV 2025
Do large language models solve verbal analogies like children do? CONLL 2025
TOGA: Temporally Grounded Open-Ended Video QA with Weak Supervision ICCV 2025
Search-in-Context: Efficient Multi-Hop QA over Long Contexts via Monte Carlo Tree Search with Dynamic KV Retrieval ACL 2025
Mind_Matrix at CQs-Gen 2025: Adaptive Generation of Critical Questions for Argumentative Interventions ACL 2025
VideoRAG: Retrieval-Augmented Generation over Video Corpus ACL 2025
Multilingual State Space Models for Structured Question Answering in Indic Languages NAACL 2025
LangEye: Toward ‘Anytime’ Learner-Driven Vocabulary Learning From Real-World Objects ACL 2025
FCMR: Robust Evaluation of Financial Cross-Modal Multi-Hop Reasoning ACL 2025
CSTree-SRI: Introspection-Driven Cognitive Semantic Tree for Multi-Turn Question Answering over Extra-Long Contexts ACL 2025
A Little Human Data Goes A Long Way ACL 2025
GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering ACL 2025
WeQA: A Benchmark for Retrieval Augmented Generation in Wind Energy Domain ACL 2025
I2R-NLP at SemEval-2025 Task 8: Question Answering on Tabular Data ACL 2025
QleverAnswering-PUCRS at SemEval-2025 Task 8: Exploring LLM agents, code generation and correction for Table Question Answering ACL 2025
ITUNLP at SemEval-2025 Task 8: Question-Answering over Tabular Data: A Zero-Shot Approach using LLM-Driven Code Generation ACL 2025
Team Anotheroption at SemEval-2025 Task 8: Bridging the Gap Between Open-Source and Proprietary LLMs in Table QA ACL 2025
Vision-Language Models Struggle to Align Entities across Modalities ACL 2025