影响力指数
83.01/100
前 1.1%
全站排名 #719
发表论文37
平均评分5.0
年均产出12.3 篇/年

Yaliang Li

Senior Staff Engineer@Alibaba Group·美国·OpenReview
研究方向

Multi-Agent · AutoML · Federated Learning

6.8
25

Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data

NeurIPS 2025Poster
6.4
27

Provable Scaling Laws for the Test-Time Compute of Large Language Models

NeurIPS 2025Poster
三作
6.0
35

Safety Layers in Aligned Large Language Models: The Key to LLM Security

ICLR 2025Poster
通讯
6.0
27

Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models

ICLR 2025Poster
通讯
6.0
16

Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development

ICML 2025Spotlight
5.8
29

From Training-Free to Adaptive: Empirical Insights into MLLMs' Understanding of Detection Information

ICLR 2025Rejected
5.8
29

Data-Juicer Sandbox: A Comprehensive Suite for Multimodal Data-Model Co-development

ICLR 2025Rejected
5.6
41

Agent-Oriented Planning in Multi-Agent Systems

ICLR 2025Poster
通讯
5.5
40

LESS IS MORE: HIGH-VALUE DATA SELECTION FOR VISUAL INSTRUCTION TUNING

ICLR 2025Rejected
4.8
41

Make LLMs better zero-shot reasoners: structure-oriented autonomous reasoning

ICLR 2025Rejected
4.8
28

Large-Scale Dynamic Graph Generation via LLM-based Agent Simulation

ICLR 2025Withdrawn
4.3
16

BiMix: Bivariate Data Mixing Law for Language Model Pretraining

ICLR 2025Rejected
4.2
7

Exploring Selective Layer Fine-Tuning in Federated Learning

ICLR 2025Rejected
3.5
6

ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning

ICLR 2025Rejected
3.0
16

On the Design and Analysis of LLM-Based Algorithms

ICLR 2025Rejected
二作
3.0
11

Very Large-Scale Multi-Agent Simulation with LLM-Powered Agents

ICLR 2025Rejected