Yuntian Deng

30 papers · 2015–2025 · 9 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (11) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (40) 🌍 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) NIPS (4) ACL (3) ICML (2) IJCNLP (2) AISTATS (1) EACL (1) JMLR (1)

Top co-authors

Alexander Rush (11) Zhiting Hu (4) Yejin Choi (4) Eric Xing (3) Poyao Huang (2) Marc'aurelio Ranzato (2) Xiang Ren (2) Zachary Ziegler (2) Anton Bakhtin (2) Yoon Kim (2)

Keywords

text generation (4) machine translation (4) language model (3) autoregressive model (2) neural language model (2) attention mechanism (2) linguistic steganography (2) large language model (2) arithmetic coding (2) question answering (1) rationale extraction (1) language modeling (1) attention modeling (1) feature attribution (1) conversational ai (1) benchmark evaluation (1) gaussian process (1) information retrieval (1) bottom-up attention (1) model interpretability (1)

Papers

WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild ICLR 2025

MixEval-X: Any-to-any Evaluations from Real-world Data Mixture ICLR 2025

Interactive Training: Feedback-Driven Neural Network Optimization EMNLP 2025

From Chat Logs to Collective Insights: Aggregative Question Answering EMNLP 2025

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing ICLR 2025

MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures NIPS 2024

WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild EMNLP 2024

WildChat: 1M ChatGPT Interaction Logs in the Wild ICLR 2024

Markup-to-Image Diffusion Models with Scheduled Sampling ICLR 2023

Semi-Parametric Inducing Point Networks and Neural Processes ICLR 2023

Tree Prompting: Efficient Task Adaptation without Fine-Tuning EMNLP 2023

Weighted Gaussian Process Bandits for Non-stationary Environments AISTATS 2022

Model Criticism for Long-Form Text Generation EMNLP 2022

Residual Energy-Based Models for Text JMLR 2021

Low-Rank Constraints for Fast Inference in Structured Models NIPS 2021

Rationales for Sequential Predictions EMNLP 2021

Sequence-to-Lattice Models for Fast Translation EMNLP 2021

Cascaded Text Generation with Markov Transformers NIPS 2020

Residual Energy-Based Models for Text Generation ICLR 2020

Neural Linguistic Steganography IJCNLP 2019

Neural Linguistic Steganography EMNLP 2019

Latent Alignment and Variational Attention NIPS 2018

Bottom-Up Abstractive Summarization EMNLP 2018

Learning Latent Space Models with Angular Constraints ICML 2017

Image-to-Markup Generation with Coarse-to-Fine Attention ICML 2017

OpenNMT: Open-Source Toolkit for Neural Machine Translation ACL 2017

Neural Machine Translation with Recurrent Attention Modeling EACL 2017

Learning Concept Taxonomies from Multi-modal Data ACL 2016

Entity Hierarchy Embedding IJCNLP 2015

Entity Hierarchy Embedding ACL 2015