Papers by Ting-Ruen Wei
Efficiency-Effectiveness Reranking FLOPs for LLM-based Rerankers (2025.emnlp-industry)
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| Challenge: | Existing studies evaluate the efficiency of LLM-based rerankers using proxy metrics such as latency and the number of forward passes. |
| Approach: | They propose to use a large language model to evaluate the efficiency of LLM-based rerankers . they propose to measure ranking quality and query processing efficiency using an interpretable FLOPs estimator . |
| Outcome: | The proposed metrics evaluate LLM-based rerankers with different architectures without running any experiments. |
Does Reasoning Introduce Bias? A Study of Social Bias Evaluation and Mitigation in LLM Reasoning (2025.findings-emnlp)
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| Challenge: | Recent advances in large language models have enabled automatic generation of chain-of-thought reasoning . however, when reasoning steps reflect social stereotypes, they can reinforce harmful associations and lead to misleading conclusions. |
| Approach: | They propose a method that detects how model predictions change across incremental reasoning steps. |
| Outcome: | The proposed method outperforms a stereotype-free baseline and improves accuracy. |