Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
- Vijay E
- Arindam Jati
- et al.
- 2024
- NeurIPS 2024
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412 results for Generative AI
Distributional Preference Alignment of LLMs via Optimal Transport
- Igor Melnyk
- Youssef Mroueh
- et al.
- 2024
- NeurIPS 2024
- Topic
Graph-Transformer-based Surrogate Model for Accelerated Converter Circuit Topology Design
- Shaoze Fan
- Haoshu Lu
- et al.
- 2024
- DAC 2024
RELIC: Investigating Large Language Model Responses using Self-Consistency
- Furui Cheng
- Vilém Zouhar
- et al.
- 2024
- CHI 2024
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift
- Shengwei An
- Sheng-Yen Chou
- et al.
- 2024
- AAAI 2024
Fairness-Aware Structured Pruning in Transformers
- Abdelrahman Zayed
- Gonçalo Mordido
- et al.
- 2024
- AAAI 2024
SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models
- Manish Nagireddy
- Lamogha Chiazor
- et al.
- 2024
- AAAI 2024
Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning
- Zhenfang Chen
- Qinhong Zhou
- et al.
- 2024
- AAAI 2024
Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning
- Turgay Caglar
- Sirine Belhaj
- et al.
- 2024
- AAAI 2024
Generalized Planning in PDDL Domains with Pretrained Large Language Models
- Tom Silver
- Soham Dan
- et al.
- 2024
- AAAI 2024