knowledge-intensive task

Beyond Noise: Characterizing Creative Potential in Unverifiable LLM Hallucinations ACL 2026 Multilingual Retrieval-Augmented Generation for Knowledge-Intensive Question Answering Task EACL 2026 Token-Level Precise Attack on RAG: Searching for the Best Alternatives to Mislead Generation EACL 2026 Controllable and Reliable Knowledge-Intensive Task-Oriented Conversational Agents with Declarative Genie Worksheets ACL 2025 Evaluating Self-Generated Documents for Enhancing Retrieval-Augmented Generation with Large Language Models NAACL 2025 GeAR: Graph-enhanced Agent for Retrieval-augmented Generation ACL 2025 How Much Do LLMs Hallucinate across Languages? On Realistic Multilingual Estimation of LLM Hallucination EMNLP 2025 ImpRAG: Retrieval-Augmented Generation with Implicit Queries EMNLP 2025 Improving Retrieval Augmented Language Model with Self-Reasoning AAAI 2025 InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales ICLR 2025 MANTA: A Scalable Pipeline for Transmuting Massive Web Corpora into Instruction Datasets EMNLP 2025 MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search EMNLP 2025 MindRef: Mimicking Human Memory for Hierarchical Reference Retrieval with Fine-Grained Location Awareness ACL 2025 RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models ACL 2025 Resource-Friendly Dynamic Enhancement Chain for Multi-Hop Question Answering ACL 2025 Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks AAAI 2025 Topology-of-Question-Decomposition: Enhancing Large Language Models with Information Retrieval for Knowledge-Intensive Tasks COLING 2025 UniRAG: Unified Query Understanding Method for Retrieval Augmented Generation ACL 2025 XFinBench: Benchmarking LLMs in Complex Financial Problem Solving and Reasoning ACL 2025 A Benchmark for Recipe Understanding in Artificial Agents COLING 2024 ARL2: Aligning Retrievers with Black-box Large Language Models via Self-guided Adaptive Relevance Labeling ACL 2024 Can AI Assistants Know What They Don’t Know? ICML 2024 Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks ACL 2024 DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention ACL 2024 KnowTuning: Knowledge-aware Fine-tuning for Large Language Models EMNLP 2024