44 citations · 82 across the 10 of their papers we have counts for
10 papers
DNA Probe Computing System for Solving NP-Complete Problems
Jin Xu, XiaoLong Shi, Xin Chen +7
Efficiently solving NP-complete problems-such as protein structure prediction, cryptographic decryption, and vulnerability detection-remains a central challenge in computer science…
GOD model: Privacy Preserved AI School for Personal Assistant
PIN AI Team, Bill Sun, Gavin Guo +7
Personal AI assistants (e.g., Apple Intelligence, Meta AI) offer proactive recommendations that simplify everyday tasks, but their reliance on sensitive user data raises concerns a…
MeetDot: Videoconferencing with Live Translation Captions
Arkady Arkhangorodsky, Christopher Chu, Scot Fang +5
We present MeetDot, a videoconferencing system with live translation captions overlaid on screen. The system aims to facilitate conversation between people who speak different lang…
A Hybrid Task-Oriented Dialog System with Domain and Task Adaptive Pretraining
Boliang Zhang, Ying Lyu, Ning Ding +4
This paper describes our submission for the End-to-end Multi-domain Task Completion Dialog shared task at the 9th Dialog System Technology Challenge (DSTC-9). Participants in the s…
Global Attention for Name Tagging
Boliang Zhang, Spencer Whitehead, Lifu Huang +1
Many name tagging approaches use local contextual information with much success, but fail when the local context is ambiguous or limited. We present a new framework to improve name…
MEEP: An Open-Source Platform for Human-Human Dialog Collection and End-to-End Agent Training
Arkady Arkhangorodsky, Amittai Axelrod, Christopher Chu +6
We create a new task-oriented dialog platform (MEEP) where agents are given considerable freedom in terms of utterances and API calls, but are constrained to work within a push-but…
Parallel Corpus Filtering via Pre-trained Language Models
Boliang Zhang, Ajay Nagesh, Kevin Knight
Web-crawled data provides a good source of parallel corpora for training machine translation models. It is automatically obtained, but extremely noisy, and recent work shows that n…
Describing a Knowledge Base
Qingyun Wang, Xiaoman Pan, Lifu Huang +4
We aim to automatically generate natural language descriptions about an input structured knowledge base (KB). We build our generation framework based on a pointer network which can…
Paper Abstract Writing through Editing Mechanism
Qingyun Wang, Zhihao Zhou, Lifu Huang +4
We present a paper abstract writing system based on an attentive neural sequence-to-sequence model that can take a title as input and automatically generate an abstract. We design…
Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding
Lifu Huang, Kyunghyun Cho, Boliang Zhang +2
We construct a multilingual common semantic space based on distributional semantics, where words from multiple languages are projected into a shared space to enable knowledge and r…