FlashAttention-3 achieves 1.5-2x speedup on H100 GPUs for attention, reaching 740 TFLOPs/s (75% utilization) in FP16 and near 1.2 PFLOPs/s in FP8 while cutting numerical error by 2.6x versus baseline FP8 attention.
Longt5: Efficient text-to-text transformer for long sequences
6 Pith papers cite this work. Polarity classification is still indexing.
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MoBA routes attention over blocks via MoE-style gating to enable dynamic, bias-light long-context attention that matches full attention performance at lower cost.
A BART-based hierarchical approach with golden-summary-driven document shortening achieves ROUGE2-F1 of 0.2468 on the VLSP 2022 Vietnamese multi-document summarization task and releases additional training data.
DTCRS dynamically builds summary trees only for suitable question types by using sub-question embeddings as cluster centers, cutting construction time while improving QA on three tasks.
A survey paper providing an overview of Large Language Models, their background, and recent advances in the field.
A survey-style reference book mapping the full agentic-AI stack from transformer internals to production deployment, with no new research result.
citing papers explorer
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FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision
FlashAttention-3 achieves 1.5-2x speedup on H100 GPUs for attention, reaching 740 TFLOPs/s (75% utilization) in FP16 and near 1.2 PFLOPs/s in FP8 while cutting numerical error by 2.6x versus baseline FP8 attention.
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MoBA: Mixture of Block Attention for Long-Context LLMs
MoBA routes attention over blocks via MoE-style gating to enable dynamic, bias-light long-context attention that matches full attention performance at lower cost.
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A BART-based approach with hierarchical strategy for Vietnamese abstractive multi-document summarization
A BART-based hierarchical approach with golden-summary-driven document shortening achieves ROUGE2-F1 of 0.2468 on the VLSP 2022 Vietnamese multi-document summarization task and releases additional training data.
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DTCRS: Dynamic Tree Construction for Recursive Summarization
DTCRS dynamically builds summary trees only for suitable question types by using sub-question embeddings as cluster centers, cutting construction time while improving QA on three tasks.
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A Comprehensive Overview of Large Language Models
A survey paper providing an overview of Large Language Models, their background, and recent advances in the field.
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The Hitchhiker's Guide to Agentic AI: From Foundations to Systems
A survey-style reference book mapping the full agentic-AI stack from transformer internals to production deployment, with no new research result.