Papers by Priya Pitre
ArgAnalysis35K : A large-scale dataset for Argument Quality Analysis (2023.acl-long)
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| Challenge: | Existing datasets in argument quality detection lack quality, quantity and diversity of topics and arguments. |
| Approach: | They propose a dataset that adds a detailed explanation of why the argument made is true, applicable or impactful. |
| Outcome: | The proposed dataset covers 34,890 high-quality argument-analysis pairs and is the largest of its kind to our knowledge. |
CONSENSAGENT: Towards Efficient and Effective Consensus in Multi-Agent LLM Interactions Through Sycophancy Mitigation (2025.findings-acl)
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| Challenge: | Recent advances in multi-agent large language model systems have shown remarkable performance in tasks such as reasoning, planning, and decision-making. |
| Approach: | They propose a framework that dynamically refines prompts based on agent interactions to mitigate sycophancy by requiring additional debate rounds to reach consensus. |
| Outcome: | The proposed framework outperforms both single-agent and multi-a agent baselines and achieves state-of-the-art results across all benchmark datasets. |