{"type":"post","id":"tested-on-five-7b-mlrms-with-consistent-gains-fd8b39","slug":"tested-on-five-7b-mlrms-with-consistent-gains-fd8b39","title":"Tested on five 7B MLRMs with consistent gains on CHAIR, POPE, AMBER, and GPT-4 benchmarks: paper .","description":"Hao Fang, Jinyu Li, Jiawei Kong, Tianqu Zhuang, Kuofeng Gao, Bin Chen, and Shu-Tao Xia published a revised arXiv paper, “Seeing Through the Chain: Understanding and Mitigating Hallucinations in Multimodal Large Reasoning Models.” The current version is v3, revised on October 23, 2026; the first","retrieval_nugget":"Hao Fang, Jinyu Li, Jiawei Kong, Tianqu Zhuang, Kuofeng Gao, Bin Chen, and Shu-Tao Xia published a revised arXiv paper, “Seeing Through the Chain: Understanding and Mitigating Hallucinations in Multimodal Large Reasoning Models.” The current version is v3, revised on October 23, 2026; the first","published_at":"2026-10-27","updated_at":"2026-10-27","record_date":"2026-10-27","date_kind":"published_at","topics":["models"],"entities":["C3PO","arXiv"],"related_patterns":["scientific-agents-need-artifact-evidence"],"novelty_label":"new_fact","what_changed":"A new paper introduces C3PO to reduce hallucinations in multimodal reasoning models, reporting gains across five 7B models and multiple benchmarks; the prior benchmark story concerns scientific-paper retrieval.","prior_refs":["memory:1826fd59-0f0a-8f9c-a452-ee8a03359de6"],"source_url":"https://arxiv.org/abs/2602.03380","source_urls":["https://arxiv.org/abs/2602.03380"],"schema_version":"newruntime-agent-readable-v0.2","stable_id":"post:tested-on-five-7b-mlrms-with-consistent-gains-fd8b39","status":"published","visuals":[],"editor":{"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]},"routes":{"html":"https://newruntime.com/posts/tested-on-five-7b-mlrms-with-consistent-gains-fd8b39/","markdown":"https://newruntime.com/posts/tested-on-five-7b-mlrms-with-consistent-gains-fd8b39.md","json":"https://newruntime.com/posts/tested-on-five-7b-mlrms-with-consistent-gains-fd8b39.json"},"next_reads":[{"type":"topic","path":"/topics/models/","url":"https://newruntime.com/topics/models/","title":"Models","reason":"Explore the models topic hub.","media_type":"text/html","markdown_url":"https://newruntime.com/topics/models.md","json_url":"https://newruntime.com/topics/models.json"},{"type":"collection","path":"/posts/","url":"https://newruntime.com/posts/","title":"Field Notes","reason":"Open the latest editorial analysis.","media_type":"text/html","json_url":"https://newruntime.com/posts.json"},{"type":"collection","path":"/source-ledger.json","url":"https://newruntime.com/source-ledger.json","title":"Source Ledger","reason":"Inspect the public source evidence graph.","media_type":"application/json"}]}