146 citations
- Center for NanoScienceDE2 papers
- ITMO UniversityRU2 papers
- Ludwig-Maximilians-Universität MünchenDE2 papers
- Munich Center for Quantum Science and TechnologyDE2 papers
- National Institute for Materials ScienceJP2 papers
- University of ViennaAT2 papers
- Amazon (United States)US1 paper
- Augusta University HealthUS1 paper
- Carnegie Mellon University QatarQA1 paper
- Chinese Academy of SciencesCN1 paper
- Chuo UniversityJP1 paper
- IBM (United States)US1 paper
17 papers
Lucy: edgerunning agentic web search on mobile with machine generated task vectors
Alan Dao, Dinh Bach Vu, Alex Nguyen +1
Small language models (SLMs) are inherently limited in knowledge-intensive tasks due to their constrained capacity. While test-time computation offers a path to enhanced performanc…
Jan-nano Technical Report
Alan Dao, Dinh Bach Vu
Most language models face a fundamental tradeoff where powerful capabilities require substantial computational resources. We shatter this constraint with Jan-nano, a 4B parameter l…
The CoNLL-2013 Shared Task on Grammatical Error Correction
Hwee Tou Ng, Siew Mei Wu, Yuanbin Wu +2
The CoNLL-2013 shared task was devoted to grammatical error correction. In this paper, we give the task definition, present the data sets, and describe the evaluation metric and sc…
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Gheorghe Comanici, Eric Bieber, Mike Schaekermann +3431
In this report, we introduce the Gemini 2.X model family: Gemini 2.5 Pro and Gemini 2.5 Flash, as well as our earlier Gemini 2.0 Flash and Flash-Lite models. Gemini 2.5 Pro is our…
ReZero: Enhancing LLM search ability by trying one-more-time
Alan Dao, Thinh Le
Retrieval-Augmented Generation (RAG) improves Large Language Model (LLM) performance on knowledge-intensive tasks but depends heavily on initial search query quality. Current metho…
AlphaSpace: Enabling Robotic Actions through Semantic Tokenization and Symbolic Reasoning
Alan Dao, Dinh Bach Vu, Bui Quang Huy
This paper presents AlphaSpace, a novel methodology designed to enhance the spatial reasoning capabilities of language models for robotic manipulation in 3D Cartesian space. AlphaS…