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Papers

PLDR-LLMs Reason At Self-Organized Criticality (2026)
Burc Gokden
1.94
ShotStream: Streaming Multi-Shot Video Generation for Interactive Storytelling (2026)
Yawen Luo et al.
1.94
Continuous Latent Diffusion Language Model (2026)
Hongcan Guo et al.
1.94
MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery (2026)
Shangheng Du et al.
1.94
MAP: A Map-then-Act Paradigm for Long-Horizon Interactive Agent Reasoning (2026)
Yuxin Liu et al.
1.89
REVERE: Reflective Evolving Research Engineer for Scientific Workflows (2026)
Balaji Dinesh Gangireddi et al.
1.78
GIMMICK -- Globally Inclusive Multimodal Multitask Cultural Knowledge Benchmarking (2025)
Florian Schneider et al.
1.28
FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA (2025)
Seanie Lee et al.
1.28
Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment (2025)
Xiaojun Jia et al.
1.28
Less Is More: Training-Free Sparse Attention with Global Locality for Efficient Reasoning (2025)
Lijie Yang et al.
1.28
ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning (2025)
Juyuan Wang et al.
1.28
On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting (2025)
Wenhao Zhang et al.
1.28
Beyond Token-level Supervision: Unlocking the Potential of Decoding-based Regression via Reinforcement Learning (2025)
Ming Chen et al.
1.28
A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding (2023)
Andrea Burns et al.
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RMT: Retentive Networks Meet Vision Transformers (2023)
Qihang Fan et al.
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Localized Symbolic Knowledge Distillation for Visual Commonsense Models (2023)
Jae Sung Park et al.
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TP-Aware Dequantization (2024)
Adnan Hoque et al.
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Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models (2024)
Yi-Fan Zhang et al.
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MM-Ego: Towards Building Egocentric Multimodal LLMs (2024)
Hanrong Ye et al.
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