Introduces VidPair-Halluc benchmark of 1K background-controlled adversarial video pairs and 11K QA pairs generated via PairFlow pipeline to evaluate hallucination in LVMs.
Countercurate: Enhancing physical and semantic visio-linguistic compositional reasoning via counterfactual examples.arXiv preprint arXiv:2402.13254, 2024a
4 Pith papers cite this work. Polarity classification is still indexing.
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MHPR is a multidimensional benchmark for LVLM human-centric perception-reasoning with C-RD, SFT-D, RL-D, T-D data tiers and ACVG pipeline, showing training gains on Qwen2.5-VL-7B to near-parity with larger models.
An adaptive, multi-tool verifier for multimodal RL that scores final answers, spatial grounding, and reasoning quality improves agentic models on spatial, hallucination, embodied, and robotic benchmarks.
DeFacto trains multimodal models with counterfactual image variants and GRPO reinforcement learning to enforce that correct answers are supported by correct visual evidence.
citing papers explorer
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No Place to Hide: Benchmarking Video Hallucination with Background-Controlled Pairs
Introduces VidPair-Halluc benchmark of 1K background-controlled adversarial video pairs and 11K QA pairs generated via PairFlow pipeline to evaluate hallucination in LVMs.
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MHPR: Multidimensional Human Perception and Reasoning Benchmark for Large Vision-Languate Models
MHPR is a multidimensional benchmark for LVLM human-centric perception-reasoning with C-RD, SFT-D, RL-D, T-D data tiers and ACVG pipeline, showing training gains on Qwen2.5-VL-7B to near-parity with larger models.
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Multimodal Reinforcement Learning with Adaptive Verifier for AI Agents
An adaptive, multi-tool verifier for multimodal RL that scores final answers, spatial grounding, and reasoning quality improves agentic models on spatial, hallucination, embodied, and robotic benchmarks.
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DeFacto: Counterfactual Thinking with Images for Enforcing Evidence-Grounded and Faithful Reasoning
DeFacto trains multimodal models with counterfactual image variants and GRPO reinforcement learning to enforce that correct answers are supported by correct visual evidence.