retrieval-augmented generation

TongGu: Mastering Classical Chinese Understanding with Knowledge-Grounded Large Language Models EMNLP 2024 TOPICAL: TOPIC Pages AutomagicaLly NAACL 2024 Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization NAACL 2024 Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs EMNLP 2024 Towards Demonstration-Aware Large Language Models for Machine Translation ACL 2024 Towards Improved Multi-Source Attribution for Long-Form Answer Generation NAACL 2024 Towards Optimizing and Evaluating a Retrieval Augmented QA Chatbot using LLMs with Human-in-the-Loop NAACL 2024 Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution ACL 2024 Towards Verifiable Text Generation with Evolving Memory and Self-Reflection EMNLP 2024 TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation EMNLP 2024 Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization NAACL 2024 TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction NAACL 2024 Tree-of-Question: Structured Retrieval Framework for Korean Question Answering Systems NAACL 2024 TriageAgent: Towards Better Multi-Agents Collaborations for Large Language Model-Based Clinical Triage EMNLP 2024 Trustful LLMs: Customizing and Grounding Text Generation with knowledge bases and Dual Decoders EMNLP 2024 Trust in Internal or External Knowledge? Generative Multi-Modal Entity Linking with Knowledge Retriever ACL 2024 TruthReader: Towards Trustworthy Document Assistant Chatbot with Reliable Attribution EMNLP 2024 Two-tiered Encoder-based Hallucination Detection for Retrieval-Augmented Generation in the Wild EMNLP 2024 Typos that Broke the RAG’s Back: Genetic Attack on RAG Pipeline by Simulating Documents in the Wild via Low-level Perturbations EMNLP 2024 UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-World Document Analysis NeurIPS 2024 UHH at AVeriTeC: RAG for Fact-Checking with Real-World Claims EMNLP 2024 Uncovering Limitations of Large Language Models in Information Seeking from Tables ACL 2024 Unified Active Retrieval for Retrieval Augmented Generation EMNLP 2024 Unlearning Climate Misinformation in Large Language Models ACL 2024 Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models ACL 2024