most citedPosition-Aware Parameter Efficient Fine-Tuning Approach for Reducing Positional Bias in LLMs

2 citations · 2 across the 3 of their papers we have counts for

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cs.CL2026

ConvApparel: A Benchmark Dataset and Validation Framework for User Simulators in Conversational Recommenders

Ofer Meshi, Krisztian Balog, Sally Goldman +5

The promise of LLM-based user simulators to improve conversational AI is hindered by a critical "realism gap," leading to systems that are optimized for simulated interactions, but…

cs.CL2024★ 2 cited

Position-Aware Parameter Efficient Fine-Tuning Approach for Reducing Positional Bias in LLMs

Zheng Zhang, Fan Yang, Ziyan Jiang +5

Recent advances in large language models (LLMs) have enhanced their ability to process long input contexts. This development is particularly crucial for tasks that involve retrievi…