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Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing

Showing results (1-10 of 18) with videos related to

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Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing|December 4, 2025
When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?Yanjun Gao, Skatje Myers, Shan Chen, et al.
Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing|December 3, 2025
BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language ModelsAofei Chang, Jiaqi Wang, Han Liu, et al.
Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing|December 31, 2025
CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language ModelsDenis Jered McInerney, Geoffrey Young, Jan-Willem van de Meent, et al.
Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing|December 5, 2025
Variational Language Concepts for Interpreting Foundation Language ModelsHengyi Wang, Shiwei Tan, Zhqing Hong, et al.
Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing|January 28, 2026
Using tournaments to calculate AUROC for zero-shot classification with LLMsWonJin Yoon, Ian Bulovic, Timothy A Miller
Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing|February 9, 2026
MedCOD: Enhancing English-to-Spanish Medical Translation of Large Language Models Using Enriched Chain-of-Dictionary FrameworkMd Shahidul Salim, Lian Fu, Arav Adikesh Ramakrishnan, et al.
Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing|December 2, 2025
Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language ModelsXu Han, Linghao Jin, Xuezhe Ma, et al.
Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing|December 2, 2025
Beyond Additive Fusion: Learning Non-Additive Multimodal InteractionsTorsten Wörtwein, Lisa B Sheeber, Nicholas Allen, et al.
Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing|December 4, 2025
Language Models are Surprisingly Fragile to Drug Names in Biomedical BenchmarksJack Gallifant, Shan Chen, Pedro Moreira, et al.
Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing|January 28, 2026
Large Language Models are In-context Teachers for Knowledge ReasoningJiachen Zhao, Zonghai Yao, Zhichao Yang, et al.
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Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing|December 4, 2025
When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?Yanjun Gao, Skatje Myers, Shan Chen, et al.
Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing|December 3, 2025
BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language ModelsAofei Chang, Jiaqi Wang, Han Liu, et al.
Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing|December 31, 2025
CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language ModelsDenis Jered McInerney, Geoffrey Young, Jan-Willem van de Meent, et al.
Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing|December 5, 2025
Variational Language Concepts for Interpreting Foundation Language ModelsHengyi Wang, Shiwei Tan, Zhqing Hong, et al.
Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing|January 28, 2026
Using tournaments to calculate AUROC for zero-shot classification with LLMsWonJin Yoon, Ian Bulovic, Timothy A Miller
Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing|February 9, 2026
MedCOD: Enhancing English-to-Spanish Medical Translation of Large Language Models Using Enriched Chain-of-Dictionary FrameworkMd Shahidul Salim, Lian Fu, Arav Adikesh Ramakrishnan, et al.
Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing|December 2, 2025
Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language ModelsXu Han, Linghao Jin, Xuezhe Ma, et al.
Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing|December 2, 2025
Beyond Additive Fusion: Learning Non-Additive Multimodal InteractionsTorsten Wörtwein, Lisa B Sheeber, Nicholas Allen, et al.
Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing|December 4, 2025
Language Models are Surprisingly Fragile to Drug Names in Biomedical BenchmarksJack Gallifant, Shan Chen, Pedro Moreira, et al.
Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing|January 28, 2026
Large Language Models are In-context Teachers for Knowledge ReasoningJiachen Zhao, Zonghai Yao, Zhichao Yang, et al.
Pageof 2