Running Reproduction: ProtoVAR: Efficient Dataset Distillation via Prototype-Guided Visual Autoregressive Modeling 🎯 Explore and update a collaborative research logbook
Running Reproduction: Discrete Survival Knowledge Distillation for Competing Risks Analysis 🎯 Explore a research logbook and sync findings with an AI agent
Running Reproduction: The Crowded Embedding Space: A Mean-Field Mechanism for Emergent Marginalization in Retrieval-Augmented Agents 🎯 Collaborate with your coding agent using a shared logbook
Running Reproduction: GePBench: Evaluating Fundamental Geometric Perception for Multimodal Large Language Models 🎯 Explore and sync experiment logs with an AI coding agent
Running Reproduction: Self-Refining Video Sampling 🎯 Collaborate with an AI agent to maintain a synced experiment logbook
Running Reproduction: DenseSteer: Steering Small Language Models towards Dense Math Reasoning 🎯 Collaborate on research logs with AI assistance
Running Reproduction: CVSearch: Empowering Multimodal LLMs with Cognitive Visual Search for High-Resolution Image Perception 🎯 Explore and share visual search logbook with AI agents
Running Reproduction: CAT-Q: Cost-efficient and Accurate Ternary Quantization for LLMs 🎯 Explore research logbook and collaborate with AI agent
Running Reproduction: Multi-Level Strategic Classification: Incentivizing Improvement through Promotion and Relegation Dynamics 🎯 Explore and collaborate on a research logbook online
Running Reproduction: TarGATE: Target-Aware Data Selection via Token-Attenuation Gates 🎯 Browse project logs and collaborate with AI agent
Running Reproduction: Trifuse: Enhancing Attention-Based GUI Grounding via Multimodal Fusion 🎯 Explore and sync research logs with an AI agent
Running Reproduction: Latent Thoughts Tuning: Bridging Context and Reasoning with Fused Information in Latent Tokens 🎯 Explore research logbooks and sync with an AI coding agent
Running Reproduction: Implicit Safety Alignment from Crowd Preferences 🎯 Explore and collaborate on a research logbook online
Running Reproduction: A Provable Expressiveness Hierarchy in Hybrid Linear-Full Attention 🎯 Explore and collaborate on a research logbook online
Running Reproduction: CountsDiff: A diffusion model on the natural numbers for generation and imputation of count-based data 🎯 Explore and sync experiment logs for the CountsDiff model
Running Reproduction: A model of errors in transformers 🎯 Explore logbook entries and collaborate with a coding agent