Kaiyan Zhang
24 papers · 2021–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
๐บ๏ธ Taxonomy Completionist (55) ๐ Conference Polyglot ยท Silver ๐ Academic Marathon ยท Sprint ๐ Interdisciplinary Bridge ยท Silver ๐ฃ Hot Topic Early Bird
๐
Keyword Champion
(3)
๐ค
Dynamic Duo
(20)
๐
Grand Slam
โก
Prolific Year ยท Prolific
โ
The Questioner
(2)
๐
Century Club ยท Bronze
๐
Renaissance Researcher
(6)
๐๏ธ
Keyword Collector
(123)
Top co-authors
Research topics
Artificial Intelligence
(21)
Core AI
(20)
Machine Learning
(14)
Natural Language Processing
(9)
Deep Learning
(8)
Application Areas
(7)
Optimization & Theory
(7)
Generation
(4)
Learning Types ยท Deep Learning
(4)
Models
(4)
Resources & Methods
(4)
Applications
(3)
Learning Types ยท Machine Learning
(3)
Computer Vision
(2)
Healthcare & Medicine
(2)
Keywords
large language model
(7)
test-time scaling
(3)
language model
(3)
reinforcement learning
(3)
question answering
(2)
knowledge retrieval
(2)
multi-agent system
(2)
foundation model
(2)
supervised fine-tuning
(2)
knowledge distillation
(2)
reinforcement learning from human feedback
(2)
chain-of-thought reasoning
(2)
preference optimization
(2)
instruction following
(2)
retrieval-augmented generation
(2)
multimodal learning
(2)
instruction tuning
(2)
code generation
(2)
reward model
(2)
information retrieval
(1)
Papers
Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future
ACL 2026
GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning
AAAI 2026
MARS2: Scaling Multi-Agent Tree Search via Reinforcement Learning for Code Generation
ACL 2026
AdsQA: Towards Advertisement Video Understanding
ICCV 2025
Fourier Position Embedding: Enhancing Attentionโs Periodic Extension for Length Generalization
ICML 2025
Free Process Rewards without Process Labels
ICML 2025
Fusing Highly Specialized Language Models for Comprehensive Expertise
ACL 2025
How to Synthesize Text Data without Model Collapse?
ICML 2025
Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process
ACL 2025
MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding
ICML 2025
OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees
ICLR 2025
Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines
AAAI 2025
ReviewRL: Towards Automated Scientific Review with RL
EMNLP 2025
Scalability of LLM-Based Multi-Agent Systems for Scientific Code Generation: A Preliminary Study
EMNLP 2025
SciSketch: An Open-source Framework for Automated Schematic Diagram Generation in Scientific Papers
EMNLP 2025
Video-T1: Test-time Scaling for Video Generation
ICCV 2025
CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following
ACL 2024
Generative Multi-Modal Knowledge Retrieval with Large Language Models
AAAI 2024
PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning
NAACL 2024
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention
EMNLP 2024
SMR: State Memory Replay for Long Sequence Modeling
ACL 2024
UltraMedical: Building Specialized Generalists in Biomedicine
NeurIPS 2024
CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model
EMNLP 2023
BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data
ACL 2021