Foundation Models
5,277 papers
Papers per year
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1
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7
15
49
58
111
153
241
569
1,557
2,094
412
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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