activity
20232026
most citedTRUTH DECAY: Quantifying Multi-Turn Sycophancy in Language Models

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

TacGen: Touch Is a Necessary Dimension of Physical-World Representation -- Addressing Tactile Data Scarcity with Scalable Vision-to-Touch Alignment and Generation

Wanghao Ye, Aarosh Das, Sihan Chen +19

Touch resolves the physical-property ambiguity left by vision: exploratory contact recovers shape, texture, compliance, and material, and visuo-haptic object representations conver…

cs.HC2026

Cognibit: From Digital Exhaustion to Real-World Connection Through Gamified Territory Control and LLM-Powered Twin Networking

Wanghao Ye, Sihan Chen, Yiting Wang +20

We present an LLM-powered social discovery platform that uses digital twins to autonomously evaluate interpersonal compatibility through behavioral simulation. The platform unifies…

cs.LG2025

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis

Shahriar Kabir Nahin, Wenxiao Xiao, Joshua Liu +2

Data-centric learning seeks to improve model performance from the perspective of data quality, and has been drawing increasing attention in the machine learning community. Among it…

cs.CL2025★ 2 cited

TRUTH DECAY: Quantifying Multi-Turn Sycophancy in Language Models

Joshua Liu, Aarav Jain, Soham Takuri +5

Rapid improvements in large language models have unveiled a critical challenge in human-AI interaction: sycophancy. In this context, sycophancy refers to the tendency of models to…

cs.CV2023

ReBound: An Open-Source 3D Bounding Box Annotation Tool for Active Learning

Wesley Chen, Andrew Edgley, Raunak Hota +5

In recent years, supervised learning has become the dominant paradigm for training deep-learning based methods for 3D object detection. Lately, the academic community has studied 3…