DanceCrafter generates high-fidelity, text-controlled dance sequences using a new Choreographic Syntax framework and a large fine-grained motion dataset.
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5 Pith papers cite this work. Polarity classification is still indexing.
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2026 5representative citing papers
Among 919 intro CS students solving Prompt Problems, typed prompts beat unedited voice on first-attempt success for two of three tasks; edited voice matched text, and most preferred text.
Infection-Reasoner, a 4B VLM, reaches 86.8% accuracy on wound infection classification while producing rationales rated mostly correct by experts, via GPT-5.1 distillation followed by reinforcement learning.
GRASP uses grounded chain-of-thought with a coordinate-weighted SFT stage and a GRPO-style policy-optimization stage to identify sarcasm targets in text and images, evaluated on the authors' new MSTI-MAX dataset.
The manuscript body introduces PokeGym, a vision-only automated 3D-game benchmark, while the abstract claims a G-EvoMAC method and 60.18% success rate absent from the body.
citing papers explorer
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DanceCrafter: Fine-Grained Text-Driven Controllable Dance Generation via Choreographic Syntax
DanceCrafter generates high-fidelity, text-controlled dance sequences using a new Choreographic Syntax framework and a large fine-grained motion dataset.
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Say What? Examining Text and Voice Input Modalities for Prompt-Based Programming in Computing Education
Among 919 intro CS students solving Prompt Problems, typed prompts beat unedited voice on first-attempt success for two of three tasks; edited voice matched text, and most preferred text.
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Infection-Reasoner: A Compact Vision-Language Model for Wound Infection Classification with Evidence-Grounded Clinical Reasoning
Infection-Reasoner, a 4B VLM, reaches 86.8% accuracy on wound infection classification while producing rationales rated mostly correct by experts, via GPT-5.1 distillation followed by reinforcement learning.
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GRASP: Grounded CoT Reasoning with Dual-Stage Optimization for Multimodal Sarcasm Target Identification
GRASP uses grounded chain-of-thought with a coordinate-weighted SFT stage and a GRPO-style policy-optimization stage to identify sarcasm targets in text and images, evaluated on the authors' new MSTI-MAX dataset.
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Mastering PokeGym: Graph-Guided Multimodal Evolution at Test Time
The manuscript body introduces PokeGym, a vision-only automated 3D-game benchmark, while the abstract claims a G-EvoMAC method and 60.18% success rate absent from the body.