most citedTowards Corpus-Scale Discovery of Selection Biases in News Coverage: Comparing What Sources Say About Entities as a Start

2 citations · 3 across the 3 of their papers we have counts for

collaborators
Showing cs.CLShow all

5 papers · 1 filter

cs.CL2024

Conceptual and Unbiased Reasoning in Language Models

Ben Zhou, Hongming Zhang, Sihao Chen +5

Conceptual reasoning, the ability to reason in abstract and high-level perspectives, is key to generalization in human cognition. However, limited study has been done on large lang…

cs.CL20243 cited

The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts

Lingfeng Shen, Weiting Tan, Sihao Chen +6

As the influence of large language models (LLMs) spans across global communities, their safety challenges in multilingual settings become paramount for alignment research. This pap…

cs.CL2023

Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations

Sihao Chen, Hongming Zhang, Tong Chen +7

We introduce sub-sentence encoder, a contrastively-learned contextual embedding model for fine-grained semantic representation of text. In contrast to the standard practice with se…

cs.CL20231 cited

The Trickle-down Impact of Reward (In-)consistency on RLHF

Lingfeng Shen, Sihao Chen, Linfeng Song +5

Standard practice within Reinforcement Learning from Human Feedback (RLHF) involves optimizing against a Reward Model (RM), which itself is trained to reflect human preferences for…

cs.CL20232 cited

Towards Corpus-Scale Discovery of Selection Biases in News Coverage: Comparing What Sources Say About Entities as a Start

Sihao Chen, William Bruno, Dan Roth

News sources undergo the process of selecting newsworthy information when covering a certain topic. The process inevitably exhibits selection biases, i.e. news sources' typical pat…