9 citations · 30 across the 15 of their papers we have counts for
4 papers · 1 filter
HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM
Zhilin Wang, Yi Dong, Jiaqi Zeng +8
Existing open-source helpfulness preference datasets do not specify what makes some responses more helpful and others less so. Models trained on these datasets can incidentally lea…
Humanoid Agents: Platform for Simulating Human-like Generative Agents
Zhilin Wang, Yu Ying Chiu, Yu Cheung Chiu
Just as computational simulations of atoms, molecules and cells have shaped the way we study the sciences, true-to-life simulations of human-like agents can be valuable tools for s…
SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF
Yi Dong, Zhilin Wang, Makesh Narsimhan Sreedhar +2
Model alignment with human preferences is an essential step in making Large Language Models (LLMs) helpful and consistent with human values. It typically consists of supervised fin…
FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering
Weizhe Lin, Zhilin Wang, Bill Byrne
The widely used Fact-based Visual Question Answering (FVQA) dataset contains visually-grounded questions that require information retrieval using common sense knowledge graphs to a…