Copertina

Frog Soup: Zero-Shot, In-Context, and Sample-Efficient Frogger Agents

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Xiang, Hao, Yiyang, Fulop, Doug
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Zero-Shot Statistical Downscaling via Diffusion Posterior Sampling
di: Tie, Ruian, et al.
Pubblicazione: (2026)

State Soup: In-Context Skill Learning, Retrieval and Mixing
di: Pióro, Maciej, et al.
Pubblicazione: (2024)

PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing
di: Tian, Feng, et al.
Pubblicazione: (2024)

Evaluating Zero-Shot Long-Context LLM Compression
di: Wang, Chenyu, et al.
Pubblicazione: (2024)

ZSMerge: Zero-Shot KV Cache Compression for Memory-Efficient Long-Context LLMs
di: Liu, Xin, et al.
Pubblicazione: (2025)

Zero-Shot Cellular Trajectory Map Matching
di: Shi, Weijie, et al.
Pubblicazione: (2025)

Improving Zero-Shot Offline RL via Behavioral Task Sampling
di: Bendib, Nazim, et al.
Pubblicazione: (2026)

ZeroShotOpt: Towards Zero-Shot Pretrained Models for Efficient Black-Box Optimization
di: Meindl, Jamison, et al.
Pubblicazione: (2025)

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents
di: Fei, Xiang, et al.
Pubblicazione: (2025)

Agent-Omit: Adaptive Context Omission for Efficient LLM Agents
di: Ning, Yansong, et al.
Pubblicazione: (2026)

Playing NetHack with LLMs: Potential & Limitations as Zero-Shot Agents
di: Jeurissen, Dominik, et al.
Pubblicazione: (2024)

Zero-Shot Robustification of Zero-Shot Models
di: Adila, Dyah, et al.
Pubblicazione: (2023)

Context-Aware Pseudo-Label Scoring for Zero-Shot Video Summarization
di: Wu, Yuanli, et al.
Pubblicazione: (2025)

Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation
di: Xie, Guofu, et al.
Pubblicazione: (2025)

Towards Foundation Models for Zero-Shot Time Series Anomaly Detection: Leveraging Synthetic Data and Relative Context Discrepancy
di: Lan, Tian, et al.
Pubblicazione: (2025)

Zero-Shot Adaptation of Parameter-Efficient Fine-Tuning in Diffusion Models
di: Farhadzadeh, Farzad, et al.
Pubblicazione: (2025)

LangGas: Introducing Language in Selective Zero-Shot Background Subtraction for Semi-Transparent Gas Leak Detection with a New Dataset
di: Guo, Wenqi, et al.
Pubblicazione: (2025)

ROAD: Reflective Optimization via Automated Debugging for Zero-Shot Agent Alignment
di: Temyingyong, Natchaya, et al.
Pubblicazione: (2025)

Modeling Latent Partner Strategies for Adaptive Zero-Shot Human-Agent Collaboration
di: Li, Benjamin, et al.
Pubblicazione: (2025)

Humanoid Agent via Embodied Chain-of-Action Reasoning with Multimodal Foundation Models for Zero-Shot Loco-Manipulation
di: Wen, Congcong, et al.
Pubblicazione: (2025)

MultiVer: Zero-Shot Multi-Agent Vulnerability Detection
di: Rajan, Shreshth
Pubblicazione: (2026)

Precise Zero-Shot Pointwise Ranking with LLMs through Post-Aggregated Global Context Information
di: Long, Kehan, et al.
Pubblicazione: (2025)

Spatio-Temporal Context Prompting for Zero-Shot Action Detection
di: Huang, Wei-Jhe, et al.
Pubblicazione: (2024)

Inferring Behavior-Specific Context Improves Zero-Shot Generalization in Reinforcement Learning
di: Ndir, Tidiane Camaret, et al.
Pubblicazione: (2024)

MaskMA: Towards Zero-Shot Multi-Agent Decision Making with Mask-Based Collaborative Learning
di: Liu, Jie, et al.
Pubblicazione: (2023)

SoupLM: Model Integration in Large Language and Multi-Modal Models
di: Bai, Yue, et al.
Pubblicazione: (2024)

Rethinking Zero-Shot Time Series Classification: From Task-specific Classifiers to In-Context Inference
di: Fang, Juntao, et al.
Pubblicazione: (2026)

MALMM: Multi-Agent Large Language Models for Zero-Shot Robotics Manipulation
di: Singh, Harsh, et al.
Pubblicazione: (2024)

Efficient Reinforcement Learning for Zero-Shot Coordination in Evolving Games
di: Hui, Bingyu, et al.
Pubblicazione: (2025)

SalientFusion: Context-Aware Compositional Zero-Shot Food Recognition
di: Song, Jiajun, et al.
Pubblicazione: (2025)

Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors
di: Li, Guozheng, et al.
Pubblicazione: (2024)

What to Ask Next? Probing the Imaginative Reasoning of LLMs with TurtleSoup Puzzles
di: Zhou, Mengtao, et al.
Pubblicazione: (2025)

Zero-Shot Signal Temporal Logic Planning with Disjunctive Branch Selection in Dynamic Semantic Maps
di: Ye, Bowen, et al.
Pubblicazione: (2026)

ProFlow: Zero-Shot Physics-Consistent Sampling via Proximal Flow Guidance
di: Yu, Zichao, et al.
Pubblicazione: (2026)

Efficient Zero-Shot AI-Generated Image Detection
di: Sonoda, Ryosuke, et al.
Pubblicazione: (2026)

Towards Zero-Shot Coordination between Teams of Agents: The N-XPlay Framework
di: Abderezaei, Ava, et al.
Pubblicazione: (2025)

Zoom-shot: Fast and Efficient Unsupervised Zero-Shot Transfer of CLIP to Vision Encoders with Multimodal Loss
di: Shipard, Jordan, et al.
Pubblicazione: (2024)

AdapShot: Adaptive Many-Shot In-Context Learning with Semantic-Aware KV Cache Reuse
di: Ou, Jie, et al.
Pubblicazione: (2026)

Zero-Shot Large Language Model Agents for Fully Automated Radiotherapy Treatment Planning
di: Yang, Dongrong, et al.
Pubblicazione: (2025)

PrismAgent: Illuminating Harm in Memes via a Zero-Shot Interpretable Multi-Agent Framework
di: Ding, Zihan, et al.
Pubblicazione: (2026)