Measuring the Effect of Transcription Noise on Downstream Language Understanding Tasks
Fuente:
arXiv
Guardado en:
| Autores principales: | Shapira, Ori, Chazan, Shlomo E., Cohen, Amir DN |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
The Overlooked Role of Graded Relevance Thresholds in Multilingual Dense Retrieval
por: Wullach, Tomer, et al.
Publicado: (2026)
por: Wullach, Tomer, et al.
Publicado: (2026)
Information Types in Product Reviews
por: Shapira, Ori, et al.
Publicado: (2025)
por: Shapira, Ori, et al.
Publicado: (2025)
A Unifying Scheme for Extractive Content Selection Tasks
por: Amar, Shmuel, et al.
Publicado: (2025)
por: Amar, Shmuel, et al.
Publicado: (2025)
Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMs
por: Shmidman, Shaltiel, et al.
Publicado: (2026)
por: Shmidman, Shaltiel, et al.
Publicado: (2026)
Adapting LLMs to Hebrew: Unveiling DictaLM 2.0 with Enhanced Vocabulary and Instruction Capabilities
por: Shmidman, Shaltiel, et al.
Publicado: (2024)
por: Shmidman, Shaltiel, et al.
Publicado: (2024)
SEAM: A Stochastic Benchmark for Multi-Document Tasks
por: Lior, Gili, et al.
Publicado: (2024)
por: Lior, Gili, et al.
Publicado: (2024)
HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark
por: Cohen, Amir DN, et al.
Publicado: (2025)
por: Cohen, Amir DN, et al.
Publicado: (2025)
Diversity Over Quantity: A Lesson From Few Shot Relation Classification
por: Cohen, Amir DN, et al.
Publicado: (2024)
por: Cohen, Amir DN, et al.
Publicado: (2024)
IQ Test for LLMs: An Evaluation Framework for Uncovering Core Skills in LLMs
por: Maimon, Aviya, et al.
Publicado: (2025)
por: Maimon, Aviya, et al.
Publicado: (2025)
Quality Matters: Evaluating Synthetic Data for Tool-Using LLMs
por: Iskander, Shadi, et al.
Publicado: (2024)
por: Iskander, Shadi, et al.
Publicado: (2024)
Multi-Review Fusion-in-Context
por: Slobodkin, Aviv, et al.
Publicado: (2024)
por: Slobodkin, Aviv, et al.
Publicado: (2024)
HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language Model
por: Kayzer, Noam, et al.
Publicado: (2026)
por: Kayzer, Noam, et al.
Publicado: (2026)
The Degree of Language Diacriticity and Its Effect on Tasks
por: Cohen, Adi, et al.
Publicado: (2026)
por: Cohen, Adi, et al.
Publicado: (2026)
Description-Based Text Similarity
por: Ravfogel, Shauli, et al.
Publicado: (2023)
por: Ravfogel, Shauli, et al.
Publicado: (2023)
Consensus or Conflict? Fine-Grained Evaluation of Conflicting Answers in Question-Answering
por: Nachshoni, Eviatar, et al.
Publicado: (2025)
por: Nachshoni, Eviatar, et al.
Publicado: (2025)
Scaling Laws for Downstream Task Performance of Large Language Models
por: Isik, Berivan, et al.
Publicado: (2024)
por: Isik, Berivan, et al.
Publicado: (2024)
The Power of Summary-Source Alignments
por: Ernst, Ori, et al.
Publicado: (2024)
por: Ernst, Ori, et al.
Publicado: (2024)
Adapting Decoder-Based Language Models for Diverse Encoder Downstream Tasks
por: Suganthan, Paul, et al.
Publicado: (2025)
por: Suganthan, Paul, et al.
Publicado: (2025)
Optimising Language Models for Downstream Tasks: A Post-Training Perspective
por: Shi, Zhengyan
Publicado: (2025)
por: Shi, Zhengyan
Publicado: (2025)
Measuring Hong Kong Massive Multi-Task Language Understanding
por: Cao, Chuxue, et al.
Publicado: (2025)
por: Cao, Chuxue, et al.
Publicado: (2025)
Instability in Downstream Task Performance During LLM Pretraining
por: Nishida, Yuto, et al.
Publicado: (2025)
por: Nishida, Yuto, et al.
Publicado: (2025)
Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks
por: Li, Miaomiao, et al.
Publicado: (2025)
por: Li, Miaomiao, et al.
Publicado: (2025)
An Evaluation of Sindhi Word Embedding in Semantic Analogies and Downstream Tasks
por: Ali, Wazir, et al.
Publicado: (2024)
por: Ali, Wazir, et al.
Publicado: (2024)
Edit Distances and Their Applications to Downstream Tasks in Research and Commercial Contexts
por: Carmo, Félix do, et al.
Publicado: (2024)
por: Carmo, Félix do, et al.
Publicado: (2024)
TransformerRanker: A Tool for Efficiently Finding the Best-Suited Language Models for Downstream Classification Tasks
por: Garbas, Lukas, et al.
Publicado: (2024)
por: Garbas, Lukas, et al.
Publicado: (2024)
Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation
por: Iluz, Bar, et al.
Publicado: (2024)
por: Iluz, Bar, et al.
Publicado: (2024)
VocabTailor: Dynamic Vocabulary Selection for Downstream Tasks in Small Language Models
por: Zhang, Hanling, et al.
Publicado: (2025)
por: Zhang, Hanling, et al.
Publicado: (2025)
Can Character-based Language Models Improve Downstream Task Performance in Low-Resource and Noisy Language Scenarios?
por: Riabi, Arij, et al.
Publicado: (2021)
por: Riabi, Arij, et al.
Publicado: (2021)
Making Retrieval-Augmented Language Models Robust to Irrelevant Context
por: Yoran, Ori, et al.
Publicado: (2023)
por: Yoran, Ori, et al.
Publicado: (2023)
Scaling Laws Are Unreliable for Downstream Tasks: A Reality Check
por: Lourie, Nicholas, et al.
Publicado: (2025)
por: Lourie, Nicholas, et al.
Publicado: (2025)
Learning to Rewrite Prompts for Bootstrapping LLMs on Downstream Tasks
por: Zhou, Qinhao, et al.
Publicado: (2025)
por: Zhou, Qinhao, et al.
Publicado: (2025)
Measuring Bias or Measuring the Task: Understanding the Brittle Nature of LLM Gender Biases
por: Gao, Bufan, et al.
Publicado: (2025)
por: Gao, Bufan, et al.
Publicado: (2025)
Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions
por: Liu, Emmy, et al.
Publicado: (2025)
por: Liu, Emmy, et al.
Publicado: (2025)
Donors and Recipients: On Asymmetric Transfer Across Tasks and Languages with Parameter-Efficient Fine-Tuning
por: Dymkiewicz, Kajetan, et al.
Publicado: (2025)
por: Dymkiewicz, Kajetan, et al.
Publicado: (2025)
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
por: Chen, Hao, et al.
Publicado: (2023)
por: Chen, Hao, et al.
Publicado: (2023)
FedEval-LLM: Federated Evaluation of Large Language Models on Downstream Tasks with Collective Wisdom
por: He, Yuanqin, et al.
Publicado: (2024)
por: He, Yuanqin, et al.
Publicado: (2024)
Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law
por: Ge, Qiming, et al.
Publicado: (2025)
por: Ge, Qiming, et al.
Publicado: (2025)
CoLA: Cross-Modal Low-rank Adaptation for Multimodal Downstream Tasks
por: Suharitdamrong, Wish, et al.
Publicado: (2026)
por: Suharitdamrong, Wish, et al.
Publicado: (2026)
Measuring Taiwanese Mandarin Language Understanding
por: Chen, Po-Heng, et al.
Publicado: (2024)
por: Chen, Po-Heng, et al.
Publicado: (2024)
Protoknowledge Shapes Behaviour of LLMs in Downstream Tasks: Memorization and Generalization with Knowledge Graphs
por: Ranaldi, Federico, et al.
Publicado: (2025)
por: Ranaldi, Federico, et al.
Publicado: (2025)
Ejemplares similares
-
The Overlooked Role of Graded Relevance Thresholds in Multilingual Dense Retrieval
por: Wullach, Tomer, et al.
Publicado: (2026) -
Information Types in Product Reviews
por: Shapira, Ori, et al.
Publicado: (2025) -
A Unifying Scheme for Extractive Content Selection Tasks
por: Amar, Shmuel, et al.
Publicado: (2025) -
Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMs
por: Shmidman, Shaltiel, et al.
Publicado: (2026) -
Adapting LLMs to Hebrew: Unveiling DictaLM 2.0 with Enhanced Vocabulary and Instruction Capabilities
por: Shmidman, Shaltiel, et al.
Publicado: (2024)