Zi Lin
18 papers · 2018–2024 · 7 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (6) π Interdisciplinary Bridge π Academic Marathon (6) π Conference Polyglot (7) πΊοΈ Taxonomy Completionist (57)
πΊοΈ
Taxonomy Completionist
(57)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Keyword Champion
(2)
π§¬
Topic Evolution
π
Conference Pioneer
π
Century Club
(18)
β
The Questioner
ποΈ
Keyword Collector
(83)
π₯
Unstoppable
(7)
β‘
Prolific Year
(5)
Conferences
EMNLP (6)
ACL (3)
NIPS (3)
ICLR (2)
IJCNLP (2)
AAAI (1)
JMLR (1)
Top co-authors
Research topics
Keywords
uncertainty quantification
(4)
machine translation
(3)
semantic parsing
(3)
uncertainty estimation
(3)
spectral normalization
(3)
content moderation
(3)
graph parsing
(3)
model uncertainty
(3)
hint-based training
(2)
transformer model
(2)
inference latency
(2)
non-autoregressive translation
(2)
human-ai collaboration
(2)
benchmark evaluation
(2)
word alignment
(2)
syntactic parsing
(1)
text classification
(1)
neural machine translation
(1)
lexical semantics
(1)
sentiment analysis
(1)
Papers
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
ICLR 2024
ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation
EMNLP 2023
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
NIPS 2023
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness
JMLR 2023
Retrieval-Augmented Parsing for Complex Graphs by Exploiting Structure and Uncertainty
EMNLP 2023
On Compositional Uncertainty Quantification for Seq2seq Graph Parsing
ICLR 2023
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification
EMNLP 2022
Towards Collaborative Neural-Symbolic Graph Semantic Parsing via Uncertainty
ACL 2022
Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation
ACL 2021
Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation
IJCNLP 2021
Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior
EMNLP 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
NIPS 2020
Fast Structured Decoding for Sequence Models
NIPS 2019
Hint-Based Training for Non-Autoregressive Machine Translation
EMNLP 2019
Hint-Based Training for Non-Autoregressive Machine Translation
IJCNLP 2019
Parsing Meaning Representations: Is Easier Always Better?
ACL 2019
Implanting Rational Knowledge into Distributed Representation at Morpheme Level
AAAI 2019
Semantic Role Labeling for Learner Chinese: the Importance of Syntactic Parsing and L2-L1 Parallel Data
EMNLP 2018