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cs.AI2026
JTPRO: A Joint Tool-Prompt Reflective Optimization Framework for Language Agents
Sandip Ghoshal, Anshul Mittal, Jyotika Singh +9
Large language model (LLM) agents augmented with external tools often struggle as number of tools grow large and become domain-specific. In such settings, ambiguous tool descriptio…
cs.AI2026
PAR-RAG: Planned Active Retrieval and Reasoning for Multi-Hop Question Answering
Xingyu Li, Rongguang Wang, Yuying Wang +5
Large language models (LLMs) remain brittle on multi-hop question answering (MHQA), where answering requires combining evidence across documents through retrieval and reasoning. It…
cs.AI2025
Open Agent Specification (Agent Spec): A Unified Representation for AI Agents
Soufiane Amini, Yassine Benajiba, Cesare Bernardis +16
The proliferation of agent frameworks has led to fragmentation in how agents are defined, executed, and evaluated. Existing systems differ in their abstractions, data flow semantic…