Copertina

CMLFormer: A Dual Decoder Transformer with Switching Point Learning for Code-Mixed Language Modeling

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Baral, Aditeya, Ajith, Allen George, Nayak, Roshan, Bhanja, Mrityunjay Abhijeet
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Can LLMs $\textit{understand}$ Math? -- Exploring the Pitfalls in Mathematical Reasoning
di: Roy, Tiasa Singha, et al.
Pubblicazione: (2025)

CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts
di: Sheokand, Manik, et al.
Pubblicazione: (2025)

Learning to Decode Collaboratively with Multiple Language Models
di: Shen, Shannon Zejiang, et al.
Pubblicazione: (2024)

Pooling Attention: Evaluating Pretrained Transformer Embeddings for Deception Classification
di: Mamtani, Sumit, et al.
Pubblicazione: (2025)

CS-Sum: A Benchmark for Code-Switching Dialogue Summarization and the Limits of Large Language Models
di: Suresh, Sathya Krishnan, et al.
Pubblicazione: (2025)

Evaluating the Effectiveness of Pre-trained Language Models in Predicting the Helpfulness of Online Product Reviews
di: Boluki, Ali, et al.
Pubblicazione: (2023)

Entropy Adaptive Decoding: Dynamic Model Switching for Efficient Inference
di: Simonds, Toby
Pubblicazione: (2025)

How Powerful are Decoder-Only Transformer Neural Models?
di: Roberts, Jesse
Pubblicazione: (2023)

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition
di: Shirke, Mayur, et al.
Pubblicazione: (2025)

SynapseRoute: An Auto-Route Switching Framework on Dual-State Large Language Model
di: Zhang, Wencheng, et al.
Pubblicazione: (2025)

DualDiffusion: A Speculative Decoding Strategy for Masked Diffusion Models
di: Goyal, Satyam, et al.
Pubblicazione: (2026)

Code-Switching Curriculum Learning for Multilingual Transfer in LLMs
di: Yoo, Haneul, et al.
Pubblicazione: (2024)

Decoding Uncertainty: The Impact of Decoding Strategies for Uncertainty Estimation in Large Language Models
di: Hashimoto, Wataru, et al.
Pubblicazione: (2025)

Progressive Mixed-Precision Decoding for Efficient LLM Inference
di: Chen, Hao Mark, et al.
Pubblicazione: (2024)

Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models
di: Sakarvadia, Mansi, et al.
Pubblicazione: (2023)

Synthetic Data Generation and Joint Learning for Robust Code-Mixed Translation
di: Kartik, Kartik, et al.
Pubblicazione: (2024)

Stability-Weighted Decoding for Diffusion Language Models
di: Wu, Yue, et al.
Pubblicazione: (2026)

Learning to Explain: Supervised Token Attribution from Transformer Attention Patterns
di: Mihaila, George
Pubblicazione: (2026)

On The Adaptation of Unlimiformer for Decoder-Only Transformers
di: Ahrabian, Kian, et al.
Pubblicazione: (2024)

CHAI for LLMs: Improving Code-Mixed Translation in Large Language Models through Reinforcement Learning with AI Feedback
di: Zhang, Wenbo, et al.
Pubblicazione: (2024)

Adapting Language Balance in Code-Switching Speech
di: Ugan, Enes Yavuz, et al.
Pubblicazione: (2025)

Are More Tokens Rational? Inference-Time Scaling in Language Models as Adaptive Resource Rationality
di: Hu, Zhimin, et al.
Pubblicazione: (2026)

The Dual-Stream Transformer: Channelized Architecture for Interpretable Language Modeling
di: Kerce, J. Clayton, et al.
Pubblicazione: (2026)

Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding
di: Jin, Tian, et al.
Pubblicazione: (2025)

PIER: A Novel Metric for Evaluating What Matters in Code-Switching
di: Ugan, Enes Yavuz, et al.
Pubblicazione: (2025)

DIVERS-Bench: Evaluating Language Identification Across Domain Shifts and Code-Switching
di: Ojo, Jessica, et al.
Pubblicazione: (2025)

Physics of Language Models: Part 1, Learning Hierarchical Language Structures
di: Allen-Zhu, Zeyuan, et al.
Pubblicazione: (2023)

FlashDecoding++: Faster Large Language Model Inference on GPUs
di: Hong, Ke, et al.
Pubblicazione: (2023)

Recurrent Drafter for Fast Speculative Decoding in Large Language Models
di: Cheng, Yunfei, et al.
Pubblicazione: (2024)

Decoding Rarity: Large Language Models in the Diagnosis of Rare Diseases
di: Carbonari, Valentina, et al.
Pubblicazione: (2025)

Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
di: De, Soham, et al.
Pubblicazione: (2024)

Speculative Decoding Across Languages
di: Paudel, Nirajan, et al.
Pubblicazione: (2026)

Scaffolded Language Models with Language Supervision for Mixed-Autonomy: A Survey
di: Lin, Matthieu, et al.
Pubblicazione: (2024)

MaxCode: A Max-Reward Reinforcement Learning Framework for Automated Code Optimization
di: Ou, Jiefu, et al.
Pubblicazione: (2026)

Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching
di: Li, Zhuoran, et al.
Pubblicazione: (2024)

LayerNorm Induces Recency Bias in Transformer Decoders
di: Kim, Junu, et al.
Pubblicazione: (2025)

Dissociating Decodability and Causal Use in Bracket-Sequence Transformers
di: Sharma, Aryan, et al.
Pubblicazione: (2026)

ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models
di: Patel, Maitreya, et al.
Pubblicazione: (2023)

On Importance of Code-Mixed Embeddings for Hate Speech Identification
di: Jagdale, Shruti, et al.
Pubblicazione: (2024)

Adapting Decoder-Based Language Models for Diverse Encoder Downstream Tasks
di: Suganthan, Paul, et al.
Pubblicazione: (2025)