Yuntian Deng
31 papers · 2015–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (11)
🌍
Conference Polyglot
(9)
🏃
Academic Marathon
(10)
🌈
Renaissance Researcher
(7)
🤝
Dynamic Duo
(11)
🧬
Topic Evolution
⚡
Prolific Year
(5)
💎
Century Club
(30)
🗃️
Keyword Collector
(101)
🔥
Unstoppable
(11)
Conferences
EMNLP (9)
ICLR (7)
ACL (4)
NIPS (4)
ICML (2)
IJCNLP (2)
AISTATS (1)
EACL (1)
JMLR (1)
Top co-authors
Keywords
machine translation
(4)
text generation
(4)
language model
(3)
large language model
(3)
neural language model
(2)
autoregressive model
(2)
attention mechanism
(2)
arithmetic coding
(2)
linguistic steganography
(2)
question answering
(1)
code generation
(1)
language modeling
(1)
rationale extraction
(1)
attention modeling
(1)
conversational ai
(1)
benchmark evaluation
(1)
bottom-up attention
(1)
information retrieval
(1)
model interpretability
(1)
kernel approximation
(1)
Papers
TokDrift: When LLM Speaks in Subwords but Code Speaks in Grammar
ACL 2026
Interactive Training: Feedback-Driven Neural Network Optimization
EMNLP 2025
From Chat Logs to Collective Insights: Aggregative Question Answering
EMNLP 2025
MixEval-X: Any-to-any Evaluations from Real-world Data Mixture
ICLR 2025
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
ICLR 2025
WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild
ICLR 2025
WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild
EMNLP 2024
MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures
NIPS 2024
WildChat: 1M ChatGPT Interaction Logs in the Wild
ICLR 2024
Semi-Parametric Inducing Point Networks and Neural Processes
ICLR 2023
Tree Prompting: Efficient Task Adaptation without Fine-Tuning
EMNLP 2023
Markup-to-Image Diffusion Models with Scheduled Sampling
ICLR 2023
Weighted Gaussian Process Bandits for Non-stationary Environments
AISTATS 2022
Model Criticism for Long-Form Text Generation
EMNLP 2022
Rationales for Sequential Predictions
EMNLP 2021
Low-Rank Constraints for Fast Inference in Structured Models
NIPS 2021
Residual Energy-Based Models for Text
JMLR 2021
Sequence-to-Lattice Models for Fast Translation
EMNLP 2021
Residual Energy-Based Models for Text Generation
ICLR 2020
Cascaded Text Generation with Markov Transformers
NIPS 2020
Neural Linguistic Steganography
EMNLP 2019
Neural Linguistic Steganography
IJCNLP 2019
Bottom-Up Abstractive Summarization
EMNLP 2018
Latent Alignment and Variational Attention
NIPS 2018
OpenNMT: Open-Source Toolkit for Neural Machine Translation
ACL 2017
Neural Machine Translation with Recurrent Attention Modeling
EACL 2017
Learning Latent Space Models with Angular Constraints
ICML 2017
Image-to-Markup Generation with Coarse-to-Fine Attention
ICML 2017
Learning Concept Taxonomies from Multi-modal Data
ACL 2016
Entity Hierarchy Embedding
IJCNLP 2015
Entity Hierarchy Embedding
ACL 2015