Papers by Damien Teney
Vision-Language Pretraining: Current Trends and the Future (2022.acl-tutorials)
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| Challenge: | Recent vision-language models are being used for downstream tasks that require large datasets and supervised datasets. |
| Approach: | They focus on recent vision-language pretraining paradigms and their strengths and shortcomings . they compare the different family of models used for vision- language pretraining . |
| Outcome: | This paper provides the background on image–language datasets, benchmarks, and modeling innovations before the multimodal pretraining area. |
A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with Transformers (2024.naacl-long)
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| Challenge: | evaluating the generalisability of Transformers to out-of-distribution mathematical reasoning problems is a challenge for many open-source models. |
| Approach: | They propose a method for generating and perturbing detailed derivations of equations at scale, aided by a symbolic engine, and compare their results to sequence classification tasks. |
| Outcome: | The proposed framework outperforms GPT-4, GPT-3.5 and a canon of fine-tuned BERT models in classification tasks . perturbations to input reasoning can reduce their performance by up to 80 F1 points . |