2 citations · 2 across the 4 of their papers we have counts for
5 papers
The belief-action gap in language model agents
Ayse Sila Okcu, Weisheng Wang, Tongmeng Xie +4
Language model (LM) agents can fail for different reasons, requiring different explanations and interventions. We study how state beliefs, action values, and action preferences int…
A Behavioural and Representational Evaluation of Goal-Directedness in Language Model Agents
Raghu Arghal, Fade Chen, Niall Dalton +6
Understanding an agent's goals helps explain and predict its behaviour, yet there is no established methodology for reliably attributing goals to agentic systems. We propose a fram…
To Case or Not to Case: An Empirical Study in Learned Sparse Retrieval
Emmanouil Georgios Lionis, Jia-Huei Ju, Angelos Nalmpantis +3
Learned Sparse Retrieval (LSR) methods construct sparse lexical representations of queries and documents that can be efficiently searched using inverted indexes. Existing LSR appro…
Hierarchical Multi-Positive Contrastive Learning for Patent Image Retrieval
Kshitij Kavimandan, Angelos Nalmpantis, Emma Beauxis-Aussalet +1
Patent images are technical drawings that convey information about a patent's innovation. Patent image retrieval systems aim to search in vast collections and retrieve the most rel…
VISION DIFFMASK: Faithful Interpretation of Vision Transformers with Differentiable Patch Masking
Angelos Nalmpantis, Apostolos Panagiotopoulos, John Gkountouras +2
The lack of interpretability of the Vision Transformer may hinder its use in critical real-world applications despite its effectiveness. To overcome this issue, we propose a post-h…