Search: Agentic coding with quant

Paper page - Selective Control under Noisy Perception: Governance Failures Hidden by Aggregate Metrics in Modular Networks

…communities, even when overall accuracy metrics appear satisfactory, with governance loss increasing significantly under false-positive-heavy conditions. Generated by Qwen/Qwen2.5-Coder-32B-Instruct A content-moderation system can score…

Jun 16, 2026

Paper page - Emergent Languages in Populations of Language Model Agents: From Token Efficiency to Oversight Evasion

…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Monitoring autonomous language model agents currently relies mostly on surface behavior. But what happens when agent populations invent new languages with the goal of…

Jun 1, 2026

Paper page - When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning

…We further introduce a medical tabular SSL benchmark with standardized protocols to support reproducible progress in this underexplored domain. Our code is available at https://github.com/labhai/Adaptive-Binning. View arXiv…

Jun 22, 2026

Paper page - The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning

…Quantized RL (2026) Reformulate LLM Reinforcement Learning for Efficient Training under Black-box Discrepancy (2026) Rethinking the Divergence Regularization in LLM RL (2026) Policy and World Modeling Co-Training for Language Agents…

Jul 6, 2026

Paper page - When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models

…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Multi-model LLM systems such as routing , voting , cascades , fusion , and mixture-of-agents are used to beat single-model accuracy . We show that…

Jun 26, 2026

Paper page - Memory-Bound but Not Bandwidth-Limited: The Physical AI Inference Gap in Batch-1 LLM Decode

…with GPU speedup limited by launch overheads and quantization efficiency varying significantly across hardware platforms. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Physical AI systems, including robots, autonomous vehicles, embodied agents…

Jun 1, 2026

Paper page - HAKARI-Bench: A Lightweight Benchmark for Comparing Retrieval Architectures and Efficiency Settings under Unified Conditions

…Generated by Qwen/Qwen2.5-Coder-32B-Instruct With the rapid spread of retrieval-augmented generation and semantic search , choosing the right embedding and retrieval configuration is increasingly hard. Large retrieval benchmarks…

Jun 23, 2026

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