Summary of Robust Planning with Compound Llm Architectures: An Llm-modulo Approach, by Atharva Gundawar et al.
Robust Planning with Compound LLM Architectures: An LLM-Modulo Approachby Atharva Gundawar, Karthik Valmeekam, Mudit Verma,…
Summary of Srsa: a Cost-efficient Strategy-router Search Agent For Real-world Human-machine Interactions, by Yaqi Wang et al.
SRSA: A Cost-Efficient Strategy-Router Search Agent for Real-world Human-Machine Interactionsby Yaqi Wang, Haipei XuFirst submitted…
Summary of Streetviewllm: Extracting Geographic Information Using a Chain-of-thought Multimodal Large Language Model, by Zongrong Li et al.
StreetviewLLM: Extracting Geographic Information Using a Chain-of-Thought Multimodal Large Language Modelby Zongrong Li, Junhao Xu,…
Summary of Ranking Unraveled: Recipes For Llm Rankings in Head-to-head Ai Combat, by Roland Daynauth et al.
Ranking Unraveled: Recipes for LLM Rankings in Head-to-Head AI Combatby Roland Daynauth, Christopher Clarke, Krisztian…
Summary of Addrllm: Address Rewriting Via Large Language Model on Nationwide Logistics Data, by Qinchen Yang et al.
AddrLLM: Address Rewriting via Large Language Model on Nationwide Logistics Databy Qinchen Yang, Zhiqing Hong,…
Summary of Piors: Personalized Intelligent Outpatient Reception Based on Large Language Model with Multi-agents Medical Scenario Simulation, by Zhijie Bao et al.
PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulationby…
Summary of Llm-based Multi-agent Systems: Techniques and Business Perspectives, by Yingxuan Yang et al.
LLM-based Multi-Agent Systems: Techniques and Business Perspectivesby Yingxuan Yang, Qiuying Peng, Jun Wang, Ying Wen,…
Summary of Probing the Capacity Of Language Model Agents to Operationalize Disparate Experiential Context Despite Distraction, by Sonny George et al.
Probing the Capacity of Language Model Agents to Operationalize Disparate Experiential Context Despite Distractionby Sonny…
Summary of Leveraging Mllm Embeddings and Attribute Smoothing For Compositional Zero-shot Learning, by Xudong Yan et al.
Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learningby Xudong Yan, Songhe Feng, Yang…
Summary of Neurosymbolic Graph Enrichment For Grounded World Models, by Stefano De Giorgis et al.
Neurosymbolic Graph Enrichment for Grounded World Modelsby Stefano De Giorgis, Aldo Gangemi, Alessandro RussoFirst submitted…