Foundation Models

Exploring the Capability of Multimodal LLMs with Yonkoma Manga: The YManga Dataset and Its Challenging Tasks EMNLP 2024 Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems EMNLP 2024 Exploring the Limits of Fine-grained LLM-based Physics Inference via Premise Removal Interventions EMNLP 2024 Exploring the Practicality of Generative Retrieval on Dynamic Corpora EMNLP 2024 Exploring the Relationship between In-Context Learning and Instruction Tuning EMNLP 2024 Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models NeurIPS 2024 Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models EMNLP 2024 Exploring Transformer Extrapolation AAAI 2024 Exponential Quantum Communication Advantage in Distributed Inference and Learning NeurIPS 2024 Extending Context Window of Large Language Models via Semantic Compression ACL 2024 Extracting Training Data From Document-Based VQA Models ICML 2024 FactAlign: Fact-Level Hallucination Detection and Classification Through Knowledge Graph Alignment NAACL 2024 Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models ICML 2024 FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models NeurIPS 2024 Faithfulness Measurable Masked Language Models ICML 2024 FAME: Towards Factual Multi-Task Model Editing EMNLP 2024 FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models ACL 2024 Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward IJCAI 2024 FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification NeurIPS 2024 Fast Imitation via Behavior Foundation Models ICLR 2024 Fast Matrix Multiplications for Lookup Table-Quantized LLMs EMNLP 2024 FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models EMNLP 2024 Feature-Adaptive and Data-Scalable In-Context Learning ACL 2024 Federated Adaptation for Foundation Model-based Recommendations IJCAI 2024 Federated Automatic Differentiation JMLR 2024