Papers by Joseph Peper
One Agent To Rule Them All: Towards Multi-agent Conversational AI (2022.findings-acl)
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Christopher Clarke, Joseph Peper, Karthik Krishnamurthy, Walter Talamonti, Kevin Leach, Walter Lasecki, Yiping Kang, Lingjia Tang, Jason Mars
| Challenge: | Increasing volume of conversational agents (CAs) on the market has resulted in users being burdened with learning and adopting multiple agents to accomplish their tasks. |
| Approach: | They propose a task BBAI: Black-Box Agent Integration that integrates multiple black-box CAs at scale. |
| Outcome: | The proposed system outperforms existing benchmarks in the BBAI: Black-Box Agent Integration task. |
PELMS: Pre-training for Effective Low-Shot Multi-Document Summarization (2024.naacl-long)
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| Challenge: | Existing methods for abstractive multi-document summarization fail to generate concise, reflective summaries. |
| Approach: | They propose a pre-trained abstractive multi-document summarization model that uses unlabeled multi-doctoral inputs to generate concise, reflective summaries. |
| Outcome: | The proposed model outperforms competing models on a wide range of MDS datasets. |
Shoes-ACOSI: A Dataset for Aspect-Based Sentiment Analysis with Implicit Opinion Extraction (2024.findings-emnlp)
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| Challenge: | Prior work in ABSA has investigated opinion extraction as an important subtask, but these works only label concise, *explicitly*-stated opinion spans. |
| Approach: | They propose a new ABSA dataset with implicit opinion span annotations . they use paragraph-length inputs and prompted-LLM baselines to evaluate the dataset . |
| Outcome: | The proposed dataset presents significant challenges for fully-supervised models and LLMs. |
Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structure (2022.findings-emnlp)
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| Challenge: | Existing methods struggle with implicit aspects and opinions, such as "it took an hour to be seated". |
| Approach: | They propose two techniques for improved structured generation for ACOS quadruple extraction. |
| Outcome: | The proposed model improves on three ACOS datasets and shows significant improvement on implicit aspect and opinion splits. |