Foundation Models

THOUGHT PROPAGATION: AN ANALOGICAL APPROACH TO COMPLEX REASONING WITH LARGE LANGUAGE MODELS ICLR 2024 Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting NeurIPS 2024 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models ICLR 2024 Time Machine GPT NAACL 2024 Time-Reversal Provides Unsupervised Feedback to LLMs NeurIPS 2024 Timer: Generative Pre-trained Transformers Are Large Time Series Models ICML 2024 Time Travel in LLMs: Tracing Data Contamination in Large Language Models ICLR 2024 Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series NeurIPS 2024 TISE: A Tripartite In-context Selection Method for Event Argument Extraction NAACL 2024 To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO ICML 2024 Tokenizer Choice For LLM Training: Negligible or Crucial? NAACL 2024 ToolRerank: Adaptive and Hierarchy-Aware Reranking for Tool Retrieval COLING 2024 TOOLVERIFIER: Generalization to New Tools via Self-Verification EMNLP 2024 Toward a Stable, Fair, and Comprehensive Evaluation of Object Hallucination in Large Vision-Language Models NeurIPS 2024 Toward Data Efficient Model Merging between Different Datasets without Performance Degradation ACML 2024 Towards a Resilient Intelligent Automation System IJCAI 2024 Towards a Simultaneous and Granular Identity-Expression Control in Personalized Face Generation CVPR 2024 Towards A Unified View of Answer Calibration for Multi-Step Reasoning ACL 2024 Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution NeurIPS 2024 Towards Autonomous Tool Utilization in Language Models: A Unified, Efficient and Scalable Framework COLING 2024 Towards Benchmarking Situational Awareness of Large Language Models:Comprehensive Benchmark, Evaluation and Analysis EMNLP 2024 Towards Calibrated Robust Fine-Tuning of Vision-Language Models NeurIPS 2024 Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention ICML 2024 Towards Compositionality in Concept Learning ICML 2024 Towards Equipping Transformer with the Ability of Systematic Compositionality AAAI 2024