3 citations · 5 across the 13 of their papers we have counts for
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cs.CL2025
CrEst: Credibility Estimation for Contexts in LLMs via Weak Supervision
Dyah Adila, Shuai Zhang, Boran Han +2
The integration of contextual information has significantly enhanced the performance of large language models (LLMs) on knowledge-intensive tasks. However, existing methods often o…
cs.CL2024
Is Free Self-Alignment Possible?
Dyah Adila, Changho Shin, Yijing Zhang +1
Aligning pretrained language models (LMs) often requires large-scale preference data and substantial computational resources. These costs become even more prohibitive for multi-obj…
cs.CL2021
Understanding Out-of-distribution: A Perspective of Data Dynamics
Dyah Adila, Dongyeop Kang
Despite machine learning models' success in Natural Language Processing (NLP) tasks, predictions from these models frequently fail on out-of-distribution (OOD) samples. Prior works…