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Foundation Models

5,277 papers

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Papers

Towards Foundation Models for Knowledge Graph Reasoning ICLR 2024 Towards Global Optimal Visual In-Context Learning Prompt Selection NeurIPS 2024 Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark ICLR 2024 Towards Neuro-Symbolic Video Understanding ECCV 2024 Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking NeurIPS 2024 Towards Pareto-Efficient RLHF: Paying Attention to a Few High-Reward Samples with Reward Dropout EMNLP 2024 Towards Uncertainty-Aware Language Agent ACL 2024 Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens NeurIPS 2024 Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model NeurIPS 2024 Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond ACL 2024 Tower v2: Unbabel-IST 2024 Submission for the General MT Shared Task EMNLP 2024 Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs NeurIPS 2024 Tracing the Roots of Facts in Multilingual Language Models: Independent, Shared, and Transferred Knowledge EACL 2024 Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimality (extended abstract) COLT 2024 Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy NeurIPS 2024 Training-Free Object Counting With Prompts WACV 2024 TransAgent: Transfer Vision-Language Foundation Models with Heterogeneous Agent Collaboration NeurIPS 2024 Transferable Adversarial Attacks on SAM and Its Downstream Models NeurIPS 2024 Transferable and Principled Efficiency for Open-Vocabulary Segmentation CVPR 2024 Transferring Knowledge From Large Foundation Models to Small Downstream Models ICML 2024 Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models NeurIPS 2024 Transformers Can Do Arithmetic with the Right Embeddings NeurIPS 2024 Transformers on Markov data: Constant depth suffices NeurIPS 2024 Tree of Attacks: Jailbreaking Black-Box LLMs Automatically NeurIPS 2024 Tree of Problems: Improving structured problem solving with compositionality EMNLP 2024