Image de couverture de livre

Think Fast, Talk Smart: Partitioning Deterministic and Neural Computation for Structured Health Text Generation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Cheng, Kai-Chen, Han, Haejun, Sun, David Q.
Format:	Preprint
Publié:	2026
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Compiling Deterministic Structure into SLM Harnesses
par: Chong, Zan Kai, et autres
Publié: (2026)

Towards Secure Program Partitioning for Smart Contracts with LLM's In-Context Learning
par: Liu, Ye, et autres
Publié: (2025)

TiDAR: Think in Diffusion, Talk in Autoregression
par: Liu, Jingyu, et autres
Publié: (2025)

DeepPsy-Agent: A Stage-Aware and Deep-Thinking Emotional Support Agent System
par: Chen, Kai, et autres
Publié: (2025)

PoseTalk: Text-and-Audio-based Pose Control and Motion Refinement for One-Shot Talking Head Generation
par: Ling, Jun, et autres
Publié: (2024)

Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners
par: Paliotta, Daniele, et autres
Publié: (2025)

Beyond Retrieval: Modeling Confidence Decay and Deterministic Agentic Platforms in Generative Engine Optimization
par: Zhao, XinYu, et autres
Publié: (2026)

APEX-SQL: Talking to the data via Agentic Exploration for Text-to-SQL
par: Cao, Bowen, et autres
Publié: (2026)

Text-Driven Emotionally Continuous Talking Face Generation
par: Yang, Hao, et autres
Publié: (2026)

Lightning Fast Caching-based Parallel Denoising Prediction for Accelerating Talking Head Generation
par: Long, Jianzhi, et autres
Publié: (2025)

Think While You Write: Hypothesis Verification Promotes Faithful Knowledge-to-Text Generation
par: Qiu, Yifu, et autres
Publié: (2023)

Structured Thinking Matters: Improving LLMs Generalization in Causal Inference Tasks
par: Sun, Wentao, et autres
Publié: (2025)

Fast-Slow-Thinking: Complex Task Solving with Large Language Models
par: Sun, Yiliu, et autres
Publié: (2025)

Text2Lip: Progressive Lip-Synced Talking Face Generation from Text via Viseme-Guided Rendering
par: Wang, Xu, et autres
Publié: (2025)

On the Holographic Geometry of Deterministic Computation
par: Nye, Logan
Publié: (2025)

Thinking Fast and Slow with Deep Learning and Tree Search
par: Anthony, Thomas, et autres
Publié: (2017)

Deterministic Computing Power Networking: Architecture, Technologies and Prospects
par: Jia, Qingmin, et autres
Publié: (2024)

MeanAudio: Fast and Faithful Text-to-Audio Generation with Mean Flows
par: Li, Xiquan, et autres
Publié: (2025)

When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models
par: Zheng, Haoran, et autres
Publié: (2026)

AudioTurbo: Fast Text-to-Audio Generation with Rectified Diffusion
par: Zhao, Junqi, et autres
Publié: (2025)

Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming
par: Pădurean, Victor-Alexandru, et autres
Publié: (2024)

DSADF: Thinking Fast and Slow for Decision Making
par: Dou, Zhihao, et autres
Publié: (2025)

Continuous Monitoring of Large-Scale Generative AI via Deterministic Knowledge Graph Structures
par: Gupta, Kishor Datta, et autres
Publié: (2025)

Think Deep, Think Fast: Investigating Efficiency of Verifier-free Inference-time-scaling Methods
par: Wang, Junlin, et autres
Publié: (2025)

Dyve: Thinking Fast and Slow for Dynamic Process Verification
par: Zhong, Jianyuan, et autres
Publié: (2025)

Think before You Simulate: Symbolic Reasoning to Orchestrate Neural Computation for Counterfactual Question Answering
par: Ishay, Adam, et autres
Publié: (2025)

Lucy: Think and Reason to Solve Text-to-SQL
par: Narodytska, Nina, et autres
Publié: (2024)

Talking with Verifiers: Automatic Specification Generation for Neural Network Verification
par: Elboher, Yizhak Y., et autres
Publié: (2026)

Think-Before-Draw: Decomposing Emotion Semantics & Fine-Grained Controllable Expressive Talking Head Generation
par: Shi, Hanlei, et autres
Publié: (2025)

Evaluating Prompting and Execution-Based Methods for Deterministic Computation in LLMs
par: Yu, Hongkun
Publié: (2026)

Fast and Exact Enumeration of Deep Networks Partitions Regions
par: Balestriero, Randall, et autres
Publié: (2024)

Evaluating LLMs' Divergent Thinking Capabilities for Scientific Idea Generation with Minimal Context
par: Ruan, Kai, et autres
Publié: (2024)

Reasoning as a Resource: Optimizing Fast and Slow Thinking in Code Generation Models
par: Li, Zongjie, et autres
Publié: (2025)

Think Fast, Think Slow, Think Critical: Designing an Automated Propaganda Detection Tool
par: Zavolokina, Liudmila, et autres
Publié: (2024)

Permutation-Invariant Graph Partitioning:How Graph Neural Networks Capture Structural Interactions?
par: Hevapathige, Asela, et autres
Publié: (2023)

PE: A Poincare Explanation Method for Fast Text Hierarchy Generation
par: Chen, Qian, et autres
Publié: (2024)

Chain of Thought Still Thinks Fast: APriCoT Helps with Thinking Slow
par: Moore, Kyle, et autres
Publié: (2024)

Facial Wrinkle Segmentation for Cosmetic Dermatology: Pretraining with Texture Map-Based Weak Supervision
par: Moon, Junho, et autres
Publié: (2024)

Beyond LLM-as-a-Judge: Deterministic Metrics for Multilingual Generative Text Evaluation
par: Alam, Firoj, et autres
Publié: (2026)

Tractable Asymmetric Verification for Large Language Models via Deterministic Replicability
par: Chong, Zan-Kai, et autres
Publié: (2025)