| Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perception | Oct 16, 2024 | Binary ClassificationChunking | CodeCode Available | 3 |
| CoFE-RAG: A Comprehensive Full-chain Evaluation Framework for Retrieval-Augmented Generation with Enhanced Data Diversity | Oct 16, 2024 | ChunkingDiversity | CodeCode Available | 1 |
| MedAide: Towards an Omni Medical Aide via Specialized LLM-based Multi-Agent Collaboration | Oct 16, 2024 | Language ModelingLanguage Modelling | —Unverified | 0 |
| Is Semantic Chunking Worth the Computational Cost? | Oct 16, 2024 | Answer GenerationChunking | —Unverified | 0 |
| MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models | Oct 16, 2024 | DiagnosticHallucination | CodeCode Available | 3 |
| RuleRAG: Rule-guided retrieval-augmented generation with language models for question answering | Oct 15, 2024 | In-Context LearningInstruction Following | CodeCode Available | 1 |
| De-jargonizing Science for Journalists with GPT-4: A Pilot Study | Oct 15, 2024 | Language ModelingLanguage Modelling | CodeCode Available | 0 |
| Holistic Reasoning with Long-Context LMs: A Benchmark for Database Operations on Massive Textual Data | Oct 15, 2024 | RAGRetrieval-augmented Generation | —Unverified | 0 |
| SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation | Oct 15, 2024 | ChunkingRAG | CodeCode Available | 0 |
| AIC CTU system at AVeriTeC: Re-framing automated fact-checking as a simple RAG task | Oct 15, 2024 | Data AugmentationFact Checking | CodeCode Available | 0 |
