Papers with Messi

2 papers
The Geometry of Numerical Reasoning: Language Models Compare Numeric Properties in Linear Subspaces (2025.naacl-short)

Copied to clipboard

Challenge: Existing studies have focused on simple factual recall, but we have not explored how this is used in more complex queries.
Approach: They propose to identify low-dimensional subspaces which encode numerical attributes associated with entities in comparison prompts.
Outcome: The proposed model can answer numeric comparison questions using a low-dimensional subspace of theembedding space.
DUnE: Dataset for Unified Editing (2023.emnlp-main)

Copied to clipboard

Challenge: Existing models are susceptible to errors necessitating a comprehensive retraining process.
Approach: They propose to define an edit as any natural language expression that solicits a change in the model’s outputs.
Outcome: The proposed editing benchmarks show that retrieval-augmented language modeling outperforms specialized editing techniques and neither set of approaches has fully solved the generalized editing problem covered by the proposed benchmark.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations