Question Answering

Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering ACL 2024 Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering EMNLP 2024 Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation COLING 2024 Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database COLING 2024 Towards Human-aligned Evaluation for Linear Programming Word Problems COLING 2024 Towards Improved Multi-Source Attribution for Long-Form Answer Generation NAACL 2024 Towards Multilingual Audio-Visual Question Answering Interspeech 2024 Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning ACL 2024 Towards Understanding Factual Knowledge of Large Language Models ICLR 2024 TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation EMNLP 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 Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models AAAI 2024 Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering EMNLP 2024 TruthReader: Towards Trustworthy Document Assistant Chatbot with Reliable Attribution EMNLP 2024 T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering AAAI 2024 TuringQ: Benchmarking AI Comprehension in Theory of Computation EMNLP 2024 TurkishMMLU: Measuring Massive Multitask Language Understanding in Turkish EMNLP 2024 Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models ACL 2024 UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-World Document Analysis NeurIPS 2024 Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs NeurIPS 2024 Uncovering Limitations of Large Language Models in Information Seeking from Tables ACL 2024 Uncovering the Full Potential of Visual Grounding Methods in VQA ACL 2024 Understanding Finetuning for Factual Knowledge Extraction ICML 2024 Unifying Image Processing as Visual Prompting Question Answering ICML 2024