PaperHub

Eric P. Xing

~Eric_Xing1

37
论文总数
18.5
年均投稿
6.0
平均评分
接收情况25/37
会议分布
ICLR
18
NeurIPS
9
ICML
5
COLM
5

发表论文 (37 篇)

202521 篇

6.6
4

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism

ICML 2025Poster
6.1
4

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models

ICML 2025Poster
6.8
4

Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

ICLR 2025Poster
5.5
4

How does controllability emerge in language models during pretraining?

ICLR 2025Rejected
6.4
5

Synthesizing Privacy-Preserving Text Data via Finetuning *without* Finetuning Billion-Scale LLMs

ICML 2025Poster
5.5
4

Diversifying Spurious Subgraphs for Graph Out-of-Distribution Generalization

ICLR 2025Rejected
6.8
4

Dimensional Collapse in VQVAEs: Evidence and Remedies

NeurIPS 2025Poster
4.9
4

Learning Vision and Language Concepts for Controllable Image Generation

ICML 2025Poster
6.8
4

Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization

NeurIPS 2025Poster
5.5
4

Scaling Long Context Training Data by Long-Distance Referrals

ICLR 2025Poster
6.6
4

Pruning Spurious Subgraphs for Graph Out-of-Distribtuion Generalization

ICML 2025Rejected
7.0
3

Faster Video Diffusion with Trainable Sparse Attention

NeurIPS 2025Poster
7.8
4

EvoLM: In Search of Lost Language Model Training Dynamics

NeurIPS 2025Oral
7.3
4

CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing

COLM 2025Poster
4.2
5

ShareLoRA: Less Tuning, More Performance for LoRA Fine-tuning of LLMs

ICLR 2025withdrawn
4.8
4

CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing

ICLR 2025Rejected
6.7
3

MegaMath: Pushing the Limits of Open Math Corpora

COLM 2025Poster
6.4
5

scPilot: Large Language Model Reasoning Toward Automated Single-Cell Analysis and Discovery

NeurIPS 2025Poster
5.8
5

Causal Representation Learning from Multimodal Biomedical Observations

ICLR 2025Poster
7.3
4

What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

NeurIPS 2025Poster
5.5
4

Large-Scale Training Data Attribution with Efficient Influence Functions

ICLR 2025Rejected

202416 篇

6.8
4

LQ-LoRA: Low-rank plus Quantized Matrix Decomposition for Efficient Language Model Finetuning

ICLR 2024Poster
5.7
3

Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models

NeurIPS 2024Poster
6.0
4

DISTFLASHATTN: Distributed Memory-efficient Attention for Long-context LLMs Training

COLM 2024Poster
5.8
4

Learning Discrete Concepts in Latent Hierarchical Models

NeurIPS 2024Poster
5.5
4

One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

ICLR 2024Rejected
5.0
4

LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers

ICLR 2024Rejected
6.5
4

Fusing Models with Complementary Expertise

ICLR 2024Poster
5.8
4

Towards Understanding Extrapolation: a Causal Lens

NeurIPS 2024Poster
4.3
3

Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning

ICLR 2024Rejected
5.3
4

Memoization-Aware Bayesian Optimization for AI Pipelines with Unknown Costs

ICLR 2024Rejected
4.3
3

Liteformer: Lightweight Evoformer for Protein Structure Prediction

ICLR 2024Rejected
5.8
4

PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

ICLR 2024Poster
4.0
3

Generation, Reconstruction, Representation All-in-One: A Joint Autoencoding Diffusion Model

ICLR 2024withdrawn
7.5
4

LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

ICLR 2024Spotlight
6.3
3

Crystal: Illuminating LLM Abilities on Language and Code

COLM 2024Poster
7.3
4

LLM360: Towards Fully Transparent Open-Source LLMs

COLM 2024Poster
合作者 (20)