Zhiqing Sun
27 papers · 2018–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (8)
π
Cross-Pollinator
(8)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(46)
π§¬
Topic Evolution
π
Triple Crown
π₯
Mega-Team
(27)
π€
Dynamic Duo
(19)
π
Grand Slam
π₯
Unstoppable
(8)
ποΈ
Keyword Collector
(88)
β‘
Prolific Year
(5)
π
Century Club
(27)
Conferences
ICLR (8)
ACL (6)
NIPS (5)
ICML (3)
EMNLP (2)
AAAI (1)
ICCV (1)
NAACL (1)
Top co-authors
Keywords
question answering
(3)
multimodal learning
(3)
large language model
(3)
transfer learning
(2)
combinatorial optimization
(2)
direct preference optimization
(2)
traveling salesman problem
(2)
reinforcement learning
(2)
maximal independent set
(2)
reward model
(2)
machine translation
(2)
transformer architecture
(1)
object detection
(1)
self-supervised learning
(1)
sequence generation
(1)
model compression
(1)
temporal modeling
(1)
in-context learning
(1)
few-shot learning
(1)
deep reinforcement learning
(1)
Papers
Lean-STaR: Learning to Interleave Thinking and Proving
ICLR 2025
Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for LLM Problem-Solving
ICLR 2025
Self-Play Preference Optimization for Language Model Alignment
ICLR 2025
Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward
NAACL 2025
Improve Vision Language Model Chain-of-thought Reasoning
ACL 2025
Instruction-tuned Language Models are Better Knowledge Learners
ACL 2024
Aligning Large Multimodal Models with Factually Augmented RLHF
ACL 2024
SALMON: Self-Alignment with Instructable Reward Models
ICLR 2024
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
NIPS 2024
Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning
AAAI 2024
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery
ICML 2024
Active Retrieval Augmented Generation
EMNLP 2023
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
NIPS 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
NIPS 2023
Recitation-Augmented Language Models
ICLR 2023
A Neural PDE Solver with Temporal Stencil Modeling
ICML 2023
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems
NIPS 2022
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
ACL 2022
Sparse Attention with Learning to Hash
ICLR 2022
Rethinking Transformer-Based Set Prediction for Object Detection
ICCV 2021
Dynamically Pruned Message Passing Networks for Large-scale Knowledge Graph Reasoning
ICLR 2020
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices
ACL 2020
A Re-evaluation of Knowledge Graph Completion Methods
ACL 2020
An EM Approach to Non-autoregressive Conditional Sequence Generation
ICML 2020
Fast Structured Decoding for Sequence Models
NIPS 2019
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
ICLR 2019
Unsupervised Neural Word Segmentation for Chinese via Segmental Language Modeling
EMNLP 2018