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20232026
most citedProbabilistic Transformer: A Probabilistic Dependency Model for Contextual Word Representation

1 citations · 1 across the 9 of their papers we have counts for

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cs.CL2026

Vela: User Behavior as Supervision Sparks LLM Intelligence

Yang Xiao, Yusong Sun, Haoyi Wu +17

Large language models are increasingly deployed in applications that act on users' long-term behavior histories, from personal assistants to recommendation and advertising systems.…

cs.CL2026

Know2Guess: A Contamination-Aware Multi-Zone Benchmark for Knowledge-Boundary Evaluation in Large Language Models

Renwei Meng, Bowen Zhang, Jian Wang +4

Reliable evaluation of large language models should separate supported answering from unsupported guessing without conflating either with data contamination, prompt idiosyncrasy, o…

cs.CL2026

GRKV: Global Regression for Training-Free KV Cache Compression in Long-Context LLMs

Junjie Peng, You Wu, Haoyi Wu +4

Large language models (LLMs) with extended context lengths rely on the key-value (KV) cache to support attention over prior tokens. However, maintaining the KV cache incurs substan…

cs.LG2026

Exploring the Potential of Probabilistic Transformer for Time Series Modeling: A Report on the ST-PT Framework

Zhangzhi Xiong, Haoyi Wu, You Wu +3

The Probabilistic Transformer (PT) establishes that the Transformer's self-attention plus its feed-forward block is mathematically equivalent to Mean-Field Variational Inference (M…

cs.CL2026

Scaling Probabilistic Transformer via Efficient Cross-Scale Hyperparameter Transfer

Penghao Kuang, Haoyi Wu, Kewei Tu

Probabilistic Transformer (PT), a white-box probabilistic model for contextual word representation, has demonstrated substantial similarity to standard Transformers in both computa…