Papers by Hayley Ross
When2Call: When (not) to Call Tools (2025.naacl-long)
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| Challenge: | Existing benchmarks focus on the accuracy of tool calling and less on when LMs should (not) call tools. |
| Approach: | They develop a benchmark which evaluates tool-calling decision-making . they leverage multiple-choice nature of the benchmark to develop 'preference optimization' training regime . |
| Outcome: | The proposed benchmark shows that state-of-the-art LMs show room for improvement on When2Call. |
Exploring Contextualized Neural Language Models for Temporal Dependency Parsing (2020.emnlp-main)
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| Challenge: | Recent work shows that deep contextualized language models (LMs) can extract temporal relations between events and time expressions. |
| Approach: | They propose a temporal relation extraction technique which extracts temporal relations between events and time expressions. |
| Outcome: | The proposed method significantly improves temporal dependency parsing, the authors show . their work compares the proposed method to other methods and shows where they may fail . |