…AI-generated summary Tool-integrated reasoning (TIR) has emerged as a dominant paradigm for mathematical problem solving in language models , combining natural language (NL) reasoning with code execution . However, this interleaved setup…
…systems face challenges in sustained coordination and error propagation, requiring integrated approaches that enable continuous diagnosis, reorganization, and behavioral refinement across structured collaboration stages. AI-generated summary LLM-based autonomous agents have…
…and visual evidence to condition later search, revealing current systems' limitations in visual evidence seeking and multimodal evidence integration. AI-generated summary Existing benchmarks for multimodal agentic search evaluate multimodal search and…
…decomposes time series prediction into specialized stages, enabling effective integration of numerical patterns and contextual information for improved forecasting accuracy and explainability. AI-generated summary Time series forecasting is not just numerical…
…specialized attention heads for retrieving factual information and integrating multi-step reasoning, with distinct neural mechanisms for local reasoning steps versus global strategy coordination. AI-generated summary Recent studies have shown that…
…We further propose ArogyaSutra, an actor-critic-based multi-agent framework that integrates tool grounding with dual-memory mechanisms for step-wise, reasoning-aware decision making, and uses stored actor-critic simulation…
…A Representative Benchmark and Scalable Training Recipe for Repository-Level Code Understanding (2026) MedProbeBench: Systematic Benchmarking at Deep Evidence Integration for Expert-level Medical Guideline (2026) More Human, More Efficient: Aligning Annotations…
…Distillation enables unified integration of multiple expert capabilities through parallel training and bidirectional policy distillation, outperforming existing methods in multi-modal reasoning tasks. AI-generated summary RLVR and OPD have become standard…
…Maybe integration from pytorch into tensorflow to take advantage of the M chip in Pixel to really make this stuff scream, using a tool like google-ai-edge/ai-edge-torch. Great…
…Zhihao Wu , , , Yudong Chen , Runcong Zhao Abstract Watermarking AI-generated text for detection fails when multiple models are used, as averaging outputs cancels perturbations and suppresses detection while improving quality and speed…