Papers
11,951 papers found
SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints
Miruna Cretu, Charles Harris, Ilia Igashov et al.
SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning
Minjun Kim, Jongjin Kim, U Kang
Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo
João Loula, Benjamin LeBrun, Li Du et al.
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search
Max Liu, Chan-Hung Yu, Wei-Hsu Lee et al.
Synthesizing Realistic fMRI: A Physiological Dynamics-Driven Hierarchical Diffusion Model for Efficient fMRI Acquisition
Yufan Hu, Yujiang, Wuyang Li et al.
Synthetic continued pretraining
Zitong Yang, Neil Band, Shuangping Li et al.
Synthio: Augmenting Small-Scale Audio Classification Datasets with Synthetic Data
Sreyan Ghosh, Sonal Kumar, Zhifeng Kong et al.
SysBench: Can LLMs Follow System Message?
Yanzhao Qin, Tao Zhang, Tao Zhang et al.
SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems
Patrick Emami, Zhaonan Li, Saumya Sinha et al.
System 1.x: Learning to Balance Fast and Slow Planning with Language Models
Swarnadeep Saha, Archiki Prasad, Justin Chen et al.
Systematic Outliers in Large Language Models
Yongqi An, Xu Zhao, Tao Yu et al.
Systematic Relational Reasoning With Epistemic Graph Neural Networks
Irtaza Khalid, Steven Schockaert
Systems with Switching Causal Relations: A Meta-Causal Perspective
Moritz Willig, Tim Tobiasch, Florian Peter Busch et al.
T2V2: A Unified Non-Autoregressive Model for Speech Recognition and Synthesis via Multitask Learning
Nabarun Goswami, Hanqin Wang, Tatsuya Harada
T2V-Turbo-v2: Enhancing Video Model Post-Training through Data, Reward, and Conditional Guidance Design
Jiachen Li, Qian Long, Jian Zheng et al.
TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation
Juntong Shi, Minkai Xu, Harper Hua et al.
TabM: Advancing tabular deep learning with parameter-efficient ensembling
Yury Gorishniy, Akim Kotelnikov, Artem Babenko
TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
Ivan Rubachev, Nikolay Kartashev, Yury Gorishniy et al.
TabWak: A Watermark for Tabular Diffusion Models
Chaoyi Zhu, Jiayi Tang, Jeroen M. Galjaard et al.
Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling
Jiawei Xu, Rui Yang, Shuang Qiu et al.
TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions
Wang Yu-Hang, Junkang Guo, Aolei Liu et al.
TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models
Makoto Shing, Kou Misaki, Han Bao et al.
Tailoring Mixup to Data for Calibration
Quentin Bouniot, Pavlo Mozharovskyi, Florence d'Alché-Buc
Talking Turns: Benchmarking Audio Foundation Models on Turn-Taking Dynamics
Siddhant Arora, Zhiyun Lu, Chung-Cheng Chiu et al.
Taming Overconfidence in LLMs: Reward Calibration in RLHF
Jixuan Leng, Chengsong Huang, Banghua Zhu et al.