Papers with CHAT
Equipping Language Models with Tool Use Capability for Tabular Data Analysis in Finance (2024.eacl-short)
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| Challenge: | Large language models (LLMs) have an array of reasoning capabilities but face limitations such as error propagation and hallucination. |
| Approach: | They propose to use a LLAMA-2 13B CHAT model to act as a task router and task solver to offload certain reasoning steps to external tools that are more suited for the task. |
| Outcome: | The proposed model improves by 35.2% and 5.06% over baseline models and strong GPT-3.5 results. |
MYCanCor: A Video Corpus of spoken Malaysian Cantonese (L18-1)
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| Challenge: | The corpus consists of 20 hours of video recordings of spontaneous talk-in-interaction typically involving 2-4 speakers. |
| Approach: | the corpus consists of 20 hours of video recordings of spontaneous talk-in-interaction typically involving 2-4 speakers. |
| Outcome: | the corpus consists of 20 hours of video recordings of spontaneous talk-in-interaction typically involving 2-4 speakers. |
Gold Standard Annotations for Preposition and Verb Sense with Semantic Role Labels in Adult-Child Interactions (C18-1)
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| Challenge: | Existing corpus of child-directed speech augments existing corpus for semantic role labels . sense and number of arguments were open to multiple interpretations due to rapidly changing discourse . |
| Approach: | They propose to augment an existing corpus of child-directed speech to provide supervised learning of semantic role labels. |
| Outcome: | The resulting corpus is a gold standard for supervised learning of semantic role labels in child-directed speech. |