Papers with systematic research

2 papers
SPADE: Evaluation Dataset for Monolingual Phrase Alignment (L18-1)

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Challenge: Existing studies on sentential paraphrase detection focus on finer grained paraphrases, i.e., phrasal paraphrase.
Approach: They propose to use the SPADE to evaluate syntactic phrase alignment in paraphrasal sentences.
Outcome: The proposed method is compared with humans and provides benchmarks to show its performance.
YIELD: A Large-Scale Dataset and Evaluation Framework for Information Elicitation Agents (2026.acl-long)

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Challenge: Existing conversational agents (CAs) are designed to satisfy user needs through user-driven interactions. however, many real-world settings, such as academic interviewing, require agents that can elicit information from users.
Approach: They propose to support Information Elicitation Agents (IEAs) in which the agent’s goal is to elicit information from users to support the agent's institutional or task-oriented objectives.
Outcome: The proposed agent-based model improves the performance of a 26M-token dataset of 2,281 human-to-human dialogues on multiple foundation LLMs and human evaluation confirms the results.

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