API Agents vs. GUI Agents: Divergence and Convergence
Paper • 2503.11069 • Published • 36
Guilherme Bueno
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upvoted 20
papers over 1 year ago
CoRe^2: Collect, Reflect and Refine to Generate Better and Faster
Paper • 2503.09662 • Published • 33
SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
Paper • 2503.09641 • Published • 42
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
Paper • 2503.09573 • Published • 77
New Trends for Modern Machine Translation with Large Reasoning Models
Paper • 2503.10351 • Published • 25
Gemini Embedding: Generalizable Embeddings from Gemini
Paper • 2503.07891 • Published • 48
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 41
Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning
Paper • 2503.07572 • Published • 48
World Modeling Makes a Better Planner: Dual Preference Optimization for Embodied Task Planning
Paper • 2503.10480 • Published • 57
SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories
Paper • 2503.08625 • Published • 27
Taking Notes Brings Focus? Towards Multi-Turn Multimodal Dialogue Learning
Paper • 2503.07002 • Published • 39
VisualPRM: An Effective Process Reward Model for Multimodal Reasoning
Paper • 2503.10291 • Published • 36
Unified Reward Model for Multimodal Understanding and Generation
Paper • 2503.05236 • Published • 124
Implicit Reasoning in Transformers is Reasoning through Shortcuts
Paper • 2503.07604 • Published • 23
GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training
Paper • 2503.08525 • Published • 17
LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL
Paper • 2503.07536 • Published • 89
Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo
Paper • 2503.09799 • Published • 15
OmniMamba: Efficient and Unified Multimodal Understanding and Generation via State Space Models
Paper • 2503.08686 • Published • 19
Transformers without Normalization
Paper • 2503.10622 • Published • 172
SEAP: Training-free Sparse Expert Activation Pruning Unlock the Brainpower of Large Language Models
Paper • 2503.07605 • Published • 66