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Foundation Models

5,277 papers

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Papers

UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling NeurIPS 2024 UniCoder: Scaling Code Large Language Model via Universal Code ACL 2024 UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning ICML 2024 UniDive: A COST Action on Universality, Diversity and Idiosyncrasy in Language Technology COLING 2024 Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding ICML 2024 Unifying Image Processing as Visual Prompting Question Answering ICML 2024 UniIR: Training and Benchmarking Universal Multimodal Information Retrievers ECCV 2024 Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE NeurIPS 2024 Unintended Impacts of LLM Alignment on Global Representation ACL 2024 UniPCM: Universal Pre-trained Conversation Model with Task-aware Automatic Prompt COLING 2024 UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science ICLR 2024 Universal In-Context Approximation By Prompting Fully Recurrent Models NeurIPS 2024 Unleashing Large Language Models’ Proficiency in Zero-shot Essay Scoring EMNLP 2024 Unleashing the Potential of Large Language Models through Spectral Modulation EMNLP 2024 Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge NAACL 2024 Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts ICML 2024 Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding ACL 2024 Unlocking Emergent Modularity in Large Language Models NAACL 2024 Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction COLING 2024 Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought NeurIPS 2024 Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback NeurIPS 2024 Unraveling Molecular Structure: A Multimodal Spectroscopic Dataset for Chemistry NeurIPS 2024 Unsupervised Human Preference Learning EMNLP 2024 Unveiling Divergent Inductive Biases of LLMs on Temporal Data NAACL 2024 Unveiling Multi-level and Multi-modal Semantic Representations in the Human Brain using Large Language Models EMNLP 2024