6 citations · 15 across the 8 of their papers we have counts for
8 papers
Let it Calm: Exploratory Annealed Decoding for Verifiable Reinforcement Learning
Chenghao Yang, Lin Gui, Chenxiao Yang +3
Reinforcement learning with verifiable rewards (RLVR) is a powerful paradigm for enhancing the reasoning capabilities of large language models (LLMs), yet its success hinges on eff…
Chasing the Tail: Effective Rubric-based Reward Modeling for Large Language Model Post-Training
Junkai Zhang, Zihao Wang, Lin Gui +7
Reinforcement fine-tuning (RFT) often suffers from reward over-optimization, where a policy model hacks the reward signals to achieve high scores while producing low-quality output…
Validity and Power of Heavy-Tailed Combination Tests under Asymptotic Dependence
Lin Gui, Tiantian Mao, Jingshu Wang +1
Heavy-tailed combination tests, such as the Cauchy combination test and harmonic mean p-value method, are widely used for testing global null hypotheses by aggregating dependent p-…
BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling
Lin Gui, Cristina Gârbacea, Victor Veitch
This paper concerns the problem of aligning samples from large language models to human preferences using best-of- sampling, where we draw samples, rank them, and return the…
Concept Algebra for (Score-Based) Text-Controlled Generative Models
Zihao Wang, Lin Gui, Jeffrey Negrea +1
This paper concerns the structure of learned representations in text-guided generative models, focusing on score-based models. A key property of such models is that they can compos…
Causal Estimation for Text Data with (Apparent) Overlap Violations
Lin Gui, Victor Veitch
Consider the problem of estimating the causal effect of some attribute of a text document; for example: what effect does writing a polite vs. rude email have on response time? To e…
Statistical Inference for Cell Type Deconvolution
Dongyue Xie, Lin Gui, Jingshu Wang
Integrating heterogeneous datasets across different measurement platforms is a fundamental challenge in many scientific applications. A common example arises in deconvolution probl…
Detecting Multiple Replicating Signals using Adaptive Filtering Procedures
Jingshu Wang, Lin Gui, Weijie J. Su +2
Replicability is a fundamental quality of scientific discoveries: we are interested in those signals that are detectable in different laboratories, study populations, across time e…