question answering
Question answering encompasses a subfield of natural language processing (NLP) that focuses on developing systems that can automatically respond to questions posed in natural language, leveraging various data sources for information retrieval and synthesis.
- C-SEO Bench: Does Conversational SEO Work?
- CoCoA: A Minimum Bayes Risk Framework Bridging Confidence and Consistency for Uncertainty Quantification in LLMs
- Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers
- Deep Video Discovery: Agentic Search with Tool Use for Long-form Video Understanding
- Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking
- Head Pursuit: Probing Attention Specialization in Multimodal Transformers
- Hierarchical Demonstration Order Optimization for Many-shot In-Context Learning
- MLLMs Need 3D-Aware Representation Supervision for Scene Understanding
- MR. Video: MapReduce as an Effective Principle for Long Video Understanding
- PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning
- The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation
- UniPixel: Unified Object Referring and Segmentation for Pixel-Level Visual Reasoning