Domain-Adaptive Small Language Models for Structured Tax Code Prediction
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Nath, Souvik, Wadhwa, Sumit, Perez, Luis |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Domain-Adaptive Continued Pre-Training of Small Language Models
par: Faroz, Salman
Publié: (2025)
par: Faroz, Salman
Publié: (2025)
Adapt-Pruner: Adaptive Structural Pruning for Efficient Small Language Model Training
par: Pan, Rui, et autres
Publié: (2025)
par: Pan, Rui, et autres
Publié: (2025)
Learning to Stay Safe: Adaptive Regularization Against Safety Degradation during Fine-Tuning
par: Goel, Jyotin, et autres
Publié: (2026)
par: Goel, Jyotin, et autres
Publié: (2026)
Domain-Adapted Small Language Models for Reliable Clinical Triage
par: Aljohani, Manar, et autres
Publié: (2026)
par: Aljohani, Manar, et autres
Publié: (2026)
Rethinking Token Prediction: Tree-Structured Diffusion Language Model
par: Wu, Zihao, et autres
Publié: (2026)
par: Wu, Zihao, et autres
Publié: (2026)
Mortgage Language Model: Domain-Adaptive Pretraining with Residual Instruction, Alignment Tuning, and Task-Specific Routing
par: Jain, Manish, et autres
Publié: (2025)
par: Jain, Manish, et autres
Publié: (2025)
To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization
par: Wang, Haozhe, et autres
Publié: (2025)
par: Wang, Haozhe, et autres
Publié: (2025)
On Domain-Adaptive Post-Training for Multimodal Large Language Models
par: Cheng, Daixuan, et autres
Publié: (2024)
par: Cheng, Daixuan, et autres
Publié: (2024)
Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both
par: Nath, Abhijnan, et autres
Publié: (2024)
par: Nath, Abhijnan, et autres
Publié: (2024)
Characterizing the Predictive Impact of Modalities with Supervised Latent-Variable Modeling
par: Madaan, Divyam, et autres
Publié: (2026)
par: Madaan, Divyam, et autres
Publié: (2026)
Small Models are LLM Knowledge Triggers on Medical Tabular Prediction
par: Yan, Jiahuan, et autres
Publié: (2024)
par: Yan, Jiahuan, et autres
Publié: (2024)
Reinforcement Learning with Semantic Rewards Enables Low-Resource Language Expansion without Alignment Tax
par: Su, Zeli, et autres
Publié: (2026)
par: Su, Zeli, et autres
Publié: (2026)
CodeACT: Code Adaptive Compute-efficient Tuning Framework for Code LLMs
par: Lv, Weijie, et autres
Publié: (2024)
par: Lv, Weijie, et autres
Publié: (2024)
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts
par: Sheokand, Manik, et autres
Publié: (2025)
par: Sheokand, Manik, et autres
Publié: (2025)
Predicting Machine Translation Performance on Low-Resource Languages: The Role of Domain Similarity
par: Khiu, Eric, et autres
Publié: (2024)
par: Khiu, Eric, et autres
Publié: (2024)
Self-Taught Self-Correction for Small Language Models
par: Moskvoretskii, Viktor, et autres
Publié: (2025)
par: Moskvoretskii, Viktor, et autres
Publié: (2025)
An Analysis for Reasoning Bias of Language Models with Small Initialization
par: Yao, Junjie, et autres
Publié: (2025)
par: Yao, Junjie, et autres
Publié: (2025)
Small Language Models Improve Giants by Rewriting Their Outputs
par: Vernikos, Giorgos, et autres
Publié: (2023)
par: Vernikos, Giorgos, et autres
Publié: (2023)
Harmonising the Clinical Melody: Tuning Large Language Models for Hospital Course Summarisation in Clinical Coding
par: Bi, Bokang, et autres
Publié: (2024)
par: Bi, Bokang, et autres
Publié: (2024)
Sample-aware Adaptive Structured Pruning for Large Language Models
par: Kong, Jun, et autres
Publié: (2025)
par: Kong, Jun, et autres
Publié: (2025)
Adaptive Pruning for Large Language Models with Structural Importance Awareness
par: Zheng, Haotian, et autres
Publié: (2024)
par: Zheng, Haotian, et autres
Publié: (2024)
Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models
par: Nath, Vaskar, et autres
Publié: (2025)
par: Nath, Vaskar, et autres
Publié: (2025)
Structured Probabilistic Coding
par: Hu, Dou, et autres
Publié: (2023)
par: Hu, Dou, et autres
Publié: (2023)
Task-Specific Efficiency Analysis: When Small Language Models Outperform Large Language Models
par: Cao, Jinghan, et autres
Publié: (2026)
par: Cao, Jinghan, et autres
Publié: (2026)
Adaptive Instruction Composition for Automated LLM Red-Teaming
par: Zymet, Jesse, et autres
Publié: (2026)
par: Zymet, Jesse, et autres
Publié: (2026)
HUKUKBERT: Domain-Specific Language Model for Turkish Law
par: Öztürk, Mehmet Utku, et autres
Publié: (2026)
par: Öztürk, Mehmet Utku, et autres
Publié: (2026)
Domain-Shift-Aware Conformal Prediction for Large Language Models
par: Lin, Zhexiao, et autres
Publié: (2025)
par: Lin, Zhexiao, et autres
Publié: (2025)
Heterogeneity in Formal Linguistic Competence of Language Models: Is Data the Real Bottleneck?
par: Renduchintala, H S V N S Kowndinya, et autres
Publié: (2026)
par: Renduchintala, H S V N S Kowndinya, et autres
Publié: (2026)
From Small to Large Language Models: Revisiting the Federalist Papers
par: Jeong, So Won, et autres
Publié: (2025)
par: Jeong, So Won, et autres
Publié: (2025)
Need a Small Specialized Language Model? Plan Early!
par: Grangier, David, et autres
Publié: (2024)
par: Grangier, David, et autres
Publié: (2024)
Adaptive Conformal Prediction for Improving Factuality of Generations by Large Language Models
par: Rubashevskii, Aleksandr, et autres
Publié: (2026)
par: Rubashevskii, Aleksandr, et autres
Publié: (2026)
Adaptive Task Vectors for Large Language Models
par: Kang, Joonseong, et autres
Publié: (2025)
par: Kang, Joonseong, et autres
Publié: (2025)
Planning In Natural Language Improves LLM Search For Code Generation
par: Wang, Evan, et autres
Publié: (2024)
par: Wang, Evan, et autres
Publié: (2024)
On the Quantization Robustness of Diffusion Language Models in Coding Benchmarks
par: Gupta, Aarav, et autres
Publié: (2026)
par: Gupta, Aarav, et autres
Publié: (2026)
Persona-aware Generative Model for Code-mixed Language
par: Sengupta, Ayan, et autres
Publié: (2023)
par: Sengupta, Ayan, et autres
Publié: (2023)
Accurate Prediction of Ligand-Protein Interaction Affinities with Fine-Tuned Small Language Models
par: Fauber, Ben
Publié: (2024)
par: Fauber, Ben
Publié: (2024)
Small Models Are (Still) Effective Cross-Domain Argument Extractors
par: Gantt, William, et autres
Publié: (2024)
par: Gantt, William, et autres
Publié: (2024)
DACP: Domain-Adaptive Continual Pre-Training of Large Language Models for Phone Conversation Summarization
par: Fu, Xue-Yong, et autres
Publié: (2025)
par: Fu, Xue-Yong, et autres
Publié: (2025)
Efficient and Personalized Mobile Health Event Prediction via Small Language Models
par: Wang, Xin, et autres
Publié: (2024)
par: Wang, Xin, et autres
Publié: (2024)
What Happens When Small Is Made Smaller? Exploring the Impact of Compression on Small Data Pretrained Language Models
par: Awobade, Busayo, et autres
Publié: (2024)
par: Awobade, Busayo, et autres
Publié: (2024)
Documents similaires
-
Domain-Adaptive Continued Pre-Training of Small Language Models
par: Faroz, Salman
Publié: (2025) -
Adapt-Pruner: Adaptive Structural Pruning for Efficient Small Language Model Training
par: Pan, Rui, et autres
Publié: (2025) -
Learning to Stay Safe: Adaptive Regularization Against Safety Degradation during Fine-Tuning
par: Goel, Jyotin, et autres
Publié: (2026) -
Domain-Adapted Small Language Models for Reliable Clinical Triage
par: Aljohani, Manar, et autres
Publié: (2026) -
Rethinking Token Prediction: Tree-Structured Diffusion Language Model
par: Wu, Zihao, et autres
Publié: (2026)