221 citations · 259 across the 22 of their papers we have counts for
7 papers · 1 filter
A Closer Look at Failure Modes in Temporal Understanding of Large Audio-Language Models
Apoorva Kulkarni, Kaousheik Jayakumar, Sreyan Ghosh +3
Large Audio Language Models (LALMs) achieve strong performance on a variety of audio understanding tasks but continue to struggle with temporal reasoning, a fundamental capability…
Localizing Anchoring Pathways in Language Models
Hillary N. Owusu, Sarah Wiegreffe, Naomi H. Feldman
Irrelevant numbers in a prompt can shift language model judgments, producing anchoring effects in numerical reasoning. We study where this anchor-sensitive signal is carried inside…
Trait-space Monitoring for Emergent Misalignment During Supervised Finetuning
Huy Nghiem, Sy-Tuyen Ho, Sarah Wiegreffe +1
Emergent misalignment (EM) occurs when narrow finetuning induces dangerous behavior outside the finetuning task. Detecting this shift through repeated behavioral evaluation is cost…
Interpretability Can Be Actionable
Hadas Orgad, Fazl Barez, Tal Haklay +9
Interpretability aims to explain the behavior of deep neural networks. Despite rapid growth, there is mounting concern that much of this work has not translated into practical impa…
What Drives Representation Steering? A Mechanistic Case Study on Steering Refusal
Stephen Cheng, Sarah Wiegreffe, Dinesh Manocha
Applying steering vectors to large language models (LLMs) is an efficient and effective model alignment technique, but we lack an interpretable explanation for how it works--specif…
Are Latent Reasoning Models Easily Interpretable?
Connor Dilgren, Sarah Wiegreffe
Latent reasoning models (LRMs) have attracted significant research interest due to their low inference cost (relative to explicit reasoning models) and theoretical ability to explo…
Quantifying the Gap between Understanding and Generation within Unified Multimodal Models
Chenlong Wang, Yuhang Chen, Zhihan Hu +4
Recent advances in unified multimodal models (UMM) have demonstrated remarkable progress in both understanding and generation tasks. However, whether these two capabilities are gen…