CogGuide: Human-Like Guidance for Zero-Shot Omni-Modal Reasoning
Fuente:
arXiv
Saved in:
| Main Authors: | Shou, Zhou-Peng, You, Zhi-Qiang, Wang, Fang, Liu, Hai-Bo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Cog-Rethinker: Hierarchical Metacognitive Reinforcement Learning for LLM Reasoning
by: Sun, Zexu, et al.
Published: (2025)
by: Sun, Zexu, et al.
Published: (2025)
OmniGuard: Unified Omni-Modal Guardrails with Deliberate Reasoning
by: Zhu, Boyu, et al.
Published: (2025)
by: Zhu, Boyu, et al.
Published: (2025)
Zero-Shot Robustification of Zero-Shot Models
by: Adila, Dyah, et al.
Published: (2023)
by: Adila, Dyah, et al.
Published: (2023)
ECG-RAMBA: Zero-Shot ECG Generalization by Morphology-Rhythm Disentanglement and Long-Range Modeling
by: Nguyen, Hai Duong, et al.
Published: (2025)
by: Nguyen, Hai Duong, et al.
Published: (2025)
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
by: Liang, Zhiyuan, et al.
Published: (2025)
by: Liang, Zhiyuan, et al.
Published: (2025)
Zero-Shot LLMs in Human-in-the-Loop RL: Replacing Human Feedback for Reward Shaping
by: Nazir, Mohammad Saif, et al.
Published: (2025)
by: Nazir, Mohammad Saif, et al.
Published: (2025)
ProFlow: Zero-Shot Physics-Consistent Sampling via Proximal Flow Guidance
by: Yu, Zichao, et al.
Published: (2026)
by: Yu, Zichao, et al.
Published: (2026)
LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction
by: Nagar, Aishik, et al.
Published: (2024)
by: Nagar, Aishik, et al.
Published: (2024)
Bridging Generalization and Personalization in Human Activity Recognition via On-Device Few-Shot Learning
by: Kang, Pixi, et al.
Published: (2025)
by: Kang, Pixi, et al.
Published: (2025)
Provable Zero-Shot Generalization in Offline Reinforcement Learning
by: Wang, Zhiyong, et al.
Published: (2025)
by: Wang, Zhiyong, et al.
Published: (2025)
On Zero-Shot Reinforcement Learning
by: Jeen, Scott
Published: (2025)
by: Jeen, Scott
Published: (2025)
Evaluating System 1 vs. 2 Reasoning Approaches for Zero-Shot Time Series Forecasting: A Benchmark and Insights
by: Liu, Haoxin, et al.
Published: (2025)
by: Liu, Haoxin, et al.
Published: (2025)
Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation
by: Chen, Huiqiang, et al.
Published: (2025)
by: Chen, Huiqiang, et al.
Published: (2025)
Zero-Shot Document Understanding using Pseudo Table of Contents-Guided Retrieval-Augmented Generation
by: Jeong, Hyeon Seong, et al.
Published: (2025)
by: Jeong, Hyeon Seong, et al.
Published: (2025)
ZeroShotOpt: Towards Zero-Shot Pretrained Models for Efficient Black-Box Optimization
by: Meindl, Jamison, et al.
Published: (2025)
by: Meindl, Jamison, et al.
Published: (2025)
Learning to Reason under Off-Policy Guidance
by: Yan, Jianhao, et al.
Published: (2025)
by: Yan, Jianhao, et al.
Published: (2025)
Graph-R1: Incentivizing the Zero-Shot Graph Learning Capability in LLMs via Explicit Reasoning
by: Wu, Yicong, et al.
Published: (2025)
by: Wu, Yicong, et al.
Published: (2025)
Zero-Shot Off-Policy Learning
by: Asadulaev, Arip, et al.
Published: (2026)
by: Asadulaev, Arip, et al.
Published: (2026)
Human in the Latent Loop (HILL): Interactively Guiding Model Training Through Human Intuition
by: Geissler, Daniel, et al.
Published: (2025)
by: Geissler, Daniel, et al.
Published: (2025)
PEEK: Guiding and Minimal Image Representations for Zero-Shot Generalization of Robot Manipulation Policies
by: Zhang, Jesse, et al.
Published: (2025)
by: Zhang, Jesse, et al.
Published: (2025)
TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models
by: Guan, Tong, et al.
Published: (2025)
by: Guan, Tong, et al.
Published: (2025)
Agent Instructs Large Language Models to be General Zero-Shot Reasoners
by: Crispino, Nicholas, et al.
Published: (2023)
by: Crispino, Nicholas, et al.
Published: (2023)
CogScale: Scalable Benchmark for Sequence Processing
by: Bendi-Ouis, Yannis, et al.
Published: (2026)
by: Bendi-Ouis, Yannis, et al.
Published: (2026)
Mixture of Rationale: Multi-Modal Reasoning Mixture for Visual Question Answering
by: Li, Tao, et al.
Published: (2024)
by: Li, Tao, et al.
Published: (2024)
Rethinking Zero-Shot Time Series Classification: From Task-specific Classifiers to In-Context Inference
by: Fang, Juntao, et al.
Published: (2026)
by: Fang, Juntao, et al.
Published: (2026)
Adaptive Guidance for Local Training in Heterogeneous Federated Learning
by: Zhang, Jianqing, et al.
Published: (2024)
by: Zhang, Jianqing, et al.
Published: (2024)
Cog-DRIFT: Exploration on Adaptively Reformulated Instances Enables Learning from Hard Reasoning Problems
by: Chen, Justin Chih-Yao, et al.
Published: (2026)
by: Chen, Justin Chih-Yao, et al.
Published: (2026)
CogAtom: From Cognitive Atoms to Olympiad-level Mathematical Reasoning in Large Language Models
by: Chen, Zhuofan, et al.
Published: (2025)
by: Chen, Zhuofan, et al.
Published: (2025)
Guidance is All You Need: Temperature-Guided Reasoning in Large Language Models
by: Gomaa, Eyad, et al.
Published: (2024)
by: Gomaa, Eyad, et al.
Published: (2024)
Bus-Conditioned Zero-Shot Trajectory Generation via Task Arithmetic
by: Liu, Shuai, et al.
Published: (2026)
by: Liu, Shuai, et al.
Published: (2026)
How Likely Do LLMs with CoT Mimic Human Reasoning?
by: Bao, Guangsheng, et al.
Published: (2024)
by: Bao, Guangsheng, et al.
Published: (2024)
M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance
by: Guo, Qingpei, et al.
Published: (2025)
by: Guo, Qingpei, et al.
Published: (2025)
VI-CuRL: Stabilizing Verifier-Independent RL Reasoning via Confidence-Guided Variance Reduction
by: Cai, Xin-Qiang, et al.
Published: (2026)
by: Cai, Xin-Qiang, et al.
Published: (2026)
NTK-Guided Few-Shot Class Incremental Learning
by: Liu, Jingren, et al.
Published: (2024)
by: Liu, Jingren, et al.
Published: (2024)
Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints
by: Jiang, Dapeng, et al.
Published: (2025)
by: Jiang, Dapeng, et al.
Published: (2025)
Zero-Shot Reinforcement Learning via Function Encoders
by: Ingebrand, Tyler, et al.
Published: (2024)
by: Ingebrand, Tyler, et al.
Published: (2024)
Semantic-Inductive Attribute Selection for Zero-Shot Learning
by: Herrera-Aranda, Juan Jose, et al.
Published: (2025)
by: Herrera-Aranda, Juan Jose, et al.
Published: (2025)
Zero-Shot Reinforcement Learning Under Partial Observability
by: Jeen, Scott, et al.
Published: (2025)
by: Jeen, Scott, et al.
Published: (2025)
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization
by: Liu, Fei, et al.
Published: (2024)
by: Liu, Fei, et al.
Published: (2024)
A Foundation Model for Zero-shot Logical Query Reasoning
by: Galkin, Mikhail, et al.
Published: (2024)
by: Galkin, Mikhail, et al.
Published: (2024)
Similar Items
-
Cog-Rethinker: Hierarchical Metacognitive Reinforcement Learning for LLM Reasoning
by: Sun, Zexu, et al.
Published: (2025) -
OmniGuard: Unified Omni-Modal Guardrails with Deliberate Reasoning
by: Zhu, Boyu, et al.
Published: (2025) -
Zero-Shot Robustification of Zero-Shot Models
by: Adila, Dyah, et al.
Published: (2023) -
ECG-RAMBA: Zero-Shot ECG Generalization by Morphology-Rhythm Disentanglement and Long-Range Modeling
by: Nguyen, Hai Duong, et al.
Published: (2025) -
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
by: Liang, Zhiyuan, et al.
Published: (2025)