4 papers
Customer-Agent: Overcoming Context Limitations in Ultra-Long Shopping Trajectories via Tool-Augmented Agents and RLVR
Hongye Liu, Rongmei Lin, Anurag Kashyap +4
Understanding customer shopping trajectories is essential for enabling personalized shopping experiences. However, shopping records (i.e., customer's search, clicks, purchases, etc…
Calibrating Model-Based Evaluation Metrics for Summarization
Hongye Liu, Dhanajit Brahma, Ricardo Henao
Recent advances in summary evaluation are based on model-based metrics to assess quality dimensions, such as completeness, conciseness, and faithfulness. However, these methods oft…
Learning to Control Summaries with Score Ranking
Hongye Liu, Liang Ding, Ricardo Henao
Recent advances in summarization research focus on improving summary quality across multiple criteria, such as completeness, conciseness, and faithfulness, by jointly optimizing th…
Labels have Human Values: Value Calibration of Subjective Tasks
Mohammed Fayiz Parappan, Ricardo Henao
Although pluralistic societies exhibit diverse human values that lead to legitimate disagreements in subjective tasks (e.g., safety and preference judgments), NLP models trained on…