146 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- 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
9 papers · 1 filter
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…
AlphaMaze: Enhancing Large Language Models' Spatial Intelligence via GRPO
Alan Dao, Dinh Bach Vu
Large Language Models (LLMs) have demonstrated impressive capabilities in language processing, yet they often struggle with tasks requiring genuine visual spatial reasoning. In thi…
Ichigo: Mixed-Modal Early-Fusion Realtime Voice Assistant
Alan Dao, Dinh Bach Vu, Huy Hoang Ha
Large Language Models (LLMs) have revolutionized natural language processing, but their application to speech-based tasks remains challenging due to the complexities of integrating…
Diverse Embedding Neural Network Language Models
Kartik Audhkhasi, Abhinav Sethy, Bhuvana Ramabhadran
We propose Diverse Embedding Neural Network (DENN), a novel architecture for language models (LMs). A DENNLM projects the input word history vector onto multiple diverse low-dimens…