Papers by Yuanzhe Shen
SATER: A Self-Aware and Token-Efficient Approach to Routing and Cascading (2025.emnlp-main)
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| Challenge: | Large language models (LLMs) demonstrate remarkable performance across diverse tasks, yet their effectiveness often depends on costly commercial APIs or cloud services. |
| Approach: | They propose a dual-mode compatible approach that fine-tunes models through shortest-response preference optimization and a confidence-aware rejection mechanism. |
| Outcome: | The proposed approach reduces redundant outputs and response times while reducing computational costs by over 50% and cascade latency by over 80%. |
TripTailor: A Real-World Benchmark for Personalized Travel Planning (2025.findings-acl)
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| Challenge: | Existing evaluation metrics for travel planning rely on unrealistic simulated data . fewer than 10% of the itineraries generated by the latest state-of-the-art LLMs achieve human-level performance. |
| Approach: | They propose a benchmark for personalized travel planning in real-world scenarios . they identify several critical challenges in travel planning including feasibility and rationality . |
| Outcome: | The proposed benchmarks show that fewer than 10% of the itineraries generated by the latest state-of-the-art LLMs achieve human-level performance. |