:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Cheng, Kai-Chen, Han, Haejun, Sun, David Q.
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2605.29652
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Compiling Deterministic Structure into SLM Harnesses
by: Chong, Zan Kai, et al.
Published: (2026)

Towards Secure Program Partitioning for Smart Contracts with LLM's In-Context Learning
by: Liu, Ye, et al.
Published: (2025)

TiDAR: Think in Diffusion, Talk in Autoregression
by: Liu, Jingyu, et al.
Published: (2025)

PoseTalk: Text-and-Audio-based Pose Control and Motion Refinement for One-Shot Talking Head Generation
by: Ling, Jun, et al.
Published: (2024)

DeepPsy-Agent: A Stage-Aware and Deep-Thinking Emotional Support Agent System
by: Chen, Kai, et al.
Published: (2025)

Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners
by: Paliotta, Daniele, et al.
Published: (2025)

Lightning Fast Caching-based Parallel Denoising Prediction for Accelerating Talking Head Generation
by: Long, Jianzhi, et al.
Published: (2025)

Beyond Retrieval: Modeling Confidence Decay and Deterministic Agentic Platforms in Generative Engine Optimization
by: Zhao, XinYu, et al.
Published: (2026)

Text-Driven Emotionally Continuous Talking Face Generation
by: Yang, Hao, et al.
Published: (2026)

APEX-SQL: Talking to the data via Agentic Exploration for Text-to-SQL
by: Cao, Bowen, et al.
Published: (2026)

Think While You Write: Hypothesis Verification Promotes Faithful Knowledge-to-Text Generation
by: Qiu, Yifu, et al.
Published: (2023)

Text2Lip: Progressive Lip-Synced Talking Face Generation from Text via Viseme-Guided Rendering
by: Wang, Xu, et al.
Published: (2025)

Fast-Slow-Thinking: Complex Task Solving with Large Language Models
by: Sun, Yiliu, et al.
Published: (2025)

Facial Wrinkle Segmentation for Cosmetic Dermatology: Pretraining with Texture Map-Based Weak Supervision
by: Moon, Junho, et al.
Published: (2024)

Structured Thinking Matters: Improving LLMs Generalization in Causal Inference Tasks
by: Sun, Wentao, et al.
Published: (2025)

Thinking Fast and Slow with Deep Learning and Tree Search
by: Anthony, Thomas, et al.
Published: (2017)

Deterministic Computing Power Networking: Architecture, Technologies and Prospects
by: Jia, Qingmin, et al.
Published: (2024)

On the Holographic Geometry of Deterministic Computation
by: Nye, Logan
Published: (2025)

AudioTurbo: Fast Text-to-Audio Generation with Rectified Diffusion
by: Zhao, Junqi, et al.
Published: (2025)

DSADF: Thinking Fast and Slow for Decision Making
by: Dou, Zhihao, et al.
Published: (2025)

MeanAudio: Fast and Faithful Text-to-Audio Generation with Mean Flows
by: Li, Xiquan, et al.
Published: (2025)

When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models
by: Zheng, Haoran, et al.
Published: (2026)

Think-Before-Draw: Decomposing Emotion Semantics & Fine-Grained Controllable Expressive Talking Head Generation
by: Shi, Hanlei, et al.
Published: (2025)

Talking with Verifiers: Automatic Specification Generation for Neural Network Verification
by: Elboher, Yizhak Y., et al.
Published: (2026)

Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming
by: Pădurean, Victor-Alexandru, et al.
Published: (2024)

Dodgersort: Uncertainty-Aware VLM-Guided Human-in-the-Loop Pairwise Ranking
by: Park, Yujin, et al.
Published: (2026)

Evaluating LLMs' Divergent Thinking Capabilities for Scientific Idea Generation with Minimal Context
by: Ruan, Kai, et al.
Published: (2024)

Think Fast, Think Slow, Think Critical: Designing an Automated Propaganda Detection Tool
by: Zavolokina, Liudmila, et al.
Published: (2024)

Think Deep, Think Fast: Investigating Efficiency of Verifier-free Inference-time-scaling Methods
by: Wang, Junlin, et al.
Published: (2025)

Fast and Exact Enumeration of Deep Networks Partitions Regions
by: Balestriero, Randall, et al.
Published: (2024)

Continuous Monitoring of Large-Scale Generative AI via Deterministic Knowledge Graph Structures
by: Gupta, Kishor Datta, et al.
Published: (2025)

Dyve: Thinking Fast and Slow for Dynamic Process Verification
by: Zhong, Jianyuan, et al.
Published: (2025)

Lucy: Think and Reason to Solve Text-to-SQL
by: Narodytska, Nina, et al.
Published: (2024)

Think before You Simulate: Symbolic Reasoning to Orchestrate Neural Computation for Counterfactual Question Answering
by: Ishay, Adam, et al.
Published: (2025)

Reasoning as a Resource: Optimizing Fast and Slow Thinking in Code Generation Models
by: Li, Zongjie, et al.
Published: (2025)

Chain of Thought Still Thinks Fast: APriCoT Helps with Thinking Slow
by: Moore, Kyle, et al.
Published: (2024)

Beyond LLM-as-a-Judge: Deterministic Metrics for Multilingual Generative Text Evaluation
by: Alam, Firoj, et al.
Published: (2026)

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

Landmark-guided Diffusion Model for High-fidelity and Temporally Coherent Talking Head Generation
by: Tan, Jintao, et al.
Published: (2024)

Permutation-Invariant Graph Partitioning:How Graph Neural Networks Capture Structural Interactions?
by: Hevapathige, Asela, et al.
Published: (2023)