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… Using local Qwen3.5-9B generation and judging, PIPE-Cypher exports 3,000 accepted FinBench / SNB examples, completes three audited ablation suites, calibrates judge behavior with human labels, and evaluates 11 local downstream models. …
… Our findings suggest that carefully selected quantized SLMs, especially from the Qwen family, can be competitive RAG generators while enabling local, private, and GPU-free deployment. …
… Generated by Qwen/Qwen2.5-Coder-32B-Instruct Many everyday programming tasks resist clean rule-based implementation, such as alerting on important log lines, repairing malformed JSON, or ranking search results by intent, and are increasingly outsourced to large language model APIs at the cost of lo… …
… Generated by Qwen/Qwen2.5-Coder-32B-Instruct Existing benchmarks for MLLM-generated web artifacts assess interaction through local evidence and miss the requirement-induced states and transitions that determine whether a page works. …
… Generated by Qwen/Qwen2.5-Coder-32B-Instruct Online group chats are social spaces with local conversational norms that are rarely stated explicitly. …
… Generated by Qwen/Qwen2.5-Coder-32B-Instruct Computer-use agents extend language models from text generation to sustained interaction with files, terminals, browsers, and external tools. …
… View arXiv page View PDF Project page Add to collection Community Qwen3.7-Max is already live as a closed API — any plans for open-weight releases of the 3.7 family? like 3.6-35B-A3B / 3.6-27B alongside 3.6-Max Would love to run it locally via llama.cpp / GGUF.
Papers arxiv:2605.31597 SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models Published on May 29 Submitted by Olaf Dünkel on Jun 2 Generative Intelligence Lab Authors: Olaf Dünkel , , , , , Abstract Semantic Object Correspondence SOCO benchmark evaluates structured object u… …
… Generated by Qwen/Qwen2.5-Coder-32B-Instruct Recent advances in Vision-Language Models VLMs have achieved impressive performance across many tasks, yet prior studies report unsatisfactory performance when applying large language or multimodal models to finding abnormal patterns in sequential data. …
Papers arxiv:2606.02470 MCP-Persona: Benchmarking LLM Agents on Real-World Personal Applications via Environment Simulation Published on Jun 1 Submitted by WENHAO WANG on Jun 2 Authors: , , , , , , , , , , , Abstract MCP-Persona benchmark evaluates agent performance on personalized tools interactin… …