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TreeHop: Generate and Filter Next Query Embeddings Efficiently for Multi-hop Question Answering
Paper • 2504.20114 • Published • 4 -
MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens
Paper • 2603.23516 • Published • 48 -
MemMA: Coordinating the Memory Cycle through Multi-Agent Reasoning and In-Situ Self-Evolution
Paper • 2603.18718 • Published • 10 -
UI-Voyager: A Self-Evolving GUI Agent Learning via Failed Experience
Paper • 2603.24533 • Published • 47
Thomas Ferraz
thomas-ferraz
AI & ML interests
NLP in portuguese
Recent Activity
updated a model about 19 hours ago
thomas-ferraz/model_name-1B-CODI-prosqa-all-ckpts published a model 1 day ago
thomas-ferraz/model_name-1B-CODI-prosqa-all-ckpts updated a model 1 day ago
thomas-ferraz/model_name-1B-CODI-prosqa-ckpt-1820Organizations
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TreeHop: Generate and Filter Next Query Embeddings Efficiently for Multi-hop Question Answering
Paper • 2504.20114 • Published • 4 -
MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens
Paper • 2603.23516 • Published • 48 -
MemMA: Coordinating the Memory Cycle through Multi-Agent Reasoning and In-Situ Self-Evolution
Paper • 2603.18718 • Published • 10 -
UI-Voyager: A Self-Evolving GUI Agent Learning via Failed Experience
Paper • 2603.24533 • Published • 47
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