MAGNET: Augmenting Generative Decoders with Representation Learning and Infilling Capabilities
Fuente:
arXiv
Saved in:
| Main Authors: | Khosla, Savya, Tiwari, Aditi, Kafle, Kushal, Jenni, Simon, Zhao, Handong, Collomosse, John, Shi, Jing |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CoT Referring: Improving Referring Expression Tasks with Grounded Reasoning
by: Dong, Qihua, et al.
Published: (2025)
by: Dong, Qihua, et al.
Published: (2025)
FINEMATCH: Aspect-based Fine-grained Image and Text Mismatch Detection and Correction
by: Hua, Hang, et al.
Published: (2024)
by: Hua, Hang, et al.
Published: (2024)
Unlocking Prompt Infilling Capability for Diffusion Language Models
by: Fujinuma, Yoshinari, et al.
Published: (2026)
by: Fujinuma, Yoshinari, et al.
Published: (2026)
Visual Grounding Methods for VQA are Working for the Wrong Reasons!
by: Shrestha, Robik, et al.
Published: (2020)
by: Shrestha, Robik, et al.
Published: (2020)
Seeing Through Words: Controlling Visual Retrieval Quality with Language Models
by: Lu, Jianglin, et al.
Published: (2026)
by: Lu, Jianglin, et al.
Published: (2026)
LFD: Layer Fused Decoding to Exploit External Knowledge in Retrieval-Augmented Generation
by: Sun, Yang, et al.
Published: (2025)
by: Sun, Yang, et al.
Published: (2025)
Empowering Character-level Text Infilling by Eliminating Sub-Tokens
by: Ren, Houxing, et al.
Published: (2024)
by: Ren, Houxing, et al.
Published: (2024)
Unlocking the Potential of Diffusion Language Models through Template Infilling
by: Lee, Junhoo, et al.
Published: (2025)
by: Lee, Junhoo, et al.
Published: (2025)
Parallel Context-of-Experts Decoding for Retrieval Augmented Generation
by: Corallo, Giulio, et al.
Published: (2026)
by: Corallo, Giulio, et al.
Published: (2026)
RetouchIQ: MLLM Agents for Instruction-Based Image Retouching with Generalist Reward
by: Wu, Qiucheng, et al.
Published: (2026)
by: Wu, Qiucheng, et al.
Published: (2026)
Are LLMs Effective Negotiators? Systematic Evaluation of the Multifaceted Capabilities of LLMs in Negotiation Dialogues
by: Kwon, Deuksin, et al.
Published: (2024)
by: Kwon, Deuksin, et al.
Published: (2024)
RACER: Retrieval-Augmented Contextual Rapid Speculative Decoding
by: Zhang, Zihong, et al.
Published: (2026)
by: Zhang, Zihong, et al.
Published: (2026)
Are Bias Mitigation Techniques for Deep Learning Effective?
by: Shrestha, Robik, et al.
Published: (2021)
by: Shrestha, Robik, et al.
Published: (2021)
Seeing Through Words, Speaking Through Pixels: Deep Representational Alignment Between Vision and Language Models
by: He, Zoe Wanying, et al.
Published: (2025)
by: He, Zoe Wanying, et al.
Published: (2025)
FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication
by: Slyman, Eric, et al.
Published: (2024)
by: Slyman, Eric, et al.
Published: (2024)
Do Moral Judgment and Reasoning Capability of LLMs Change with Language? A Study using the Multilingual Defining Issues Test
by: Khandelwal, Aditi, et al.
Published: (2024)
by: Khandelwal, Aditi, et al.
Published: (2024)
Clustered Retrieved Augmented Generation (CRAG)
by: Akesson, Simon, et al.
Published: (2024)
by: Akesson, Simon, et al.
Published: (2024)
RASD: Retrieval-Augmented Speculative Decoding
by: Quan, Guofeng, et al.
Published: (2025)
by: Quan, Guofeng, et al.
Published: (2025)
Revisiting Multi-Modal LLM Evaluation
by: Lu, Jian, et al.
Published: (2024)
by: Lu, Jian, et al.
Published: (2024)
HyperbolicRAG: Enhancing Retrieval-Augmented Generation with Hyperbolic Representations
by: Cao, Linxiao, et al.
Published: (2025)
by: Cao, Linxiao, et al.
Published: (2025)
Enhancing Grammatical Error Detection using BERT with Cleaned Lang-8 Dataset
by: Nihalani, Rahul, et al.
Published: (2024)
by: Nihalani, Rahul, et al.
Published: (2024)
Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG
by: Singh, Aditi, et al.
Published: (2025)
by: Singh, Aditi, et al.
Published: (2025)
Boosting the Capabilities of Compact Models in Low-Data Contexts with Large Language Models and Retrieval-Augmented Generation
by: Shandilya, Bhargav, et al.
Published: (2024)
by: Shandilya, Bhargav, et al.
Published: (2024)
Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation
by: Yu, Zhuang, et al.
Published: (2025)
by: Yu, Zhuang, et al.
Published: (2025)
The Diminishing Returns of Early-Exit Decoding in Modern LLMs
by: Wei, Rui, et al.
Published: (2026)
by: Wei, Rui, et al.
Published: (2026)
Improving Large Vision and Language Models by Learning from a Panel of Peers
by: Hernandez, Jefferson, et al.
Published: (2025)
by: Hernandez, Jefferson, et al.
Published: (2025)
Retrieval-Augmented Generation by Evidence Retroactivity in LLMs
by: Xiao, Liang, et al.
Published: (2025)
by: Xiao, Liang, et al.
Published: (2025)
RAVEN: In-Context Learning with Retrieval-Augmented Encoder-Decoder Language Models
by: Huang, Jie, et al.
Published: (2023)
by: Huang, Jie, et al.
Published: (2023)
Multilingual Machine Translation with Quantum Encoder Decoder Attention-based Convolutional Variational Circuits
by: Dikshit, Subrit, et al.
Published: (2025)
by: Dikshit, Subrit, et al.
Published: (2025)
ProRAG: Process-Supervised Reinforcement Learning for Retrieval-Augmented Generation
by: Wang, Zhao, et al.
Published: (2026)
by: Wang, Zhao, et al.
Published: (2026)
Pairing Analogy-Augmented Generation with Procedural Memory for Procedural Q&A
by: Roth, K, et al.
Published: (2024)
by: Roth, K, et al.
Published: (2024)
Reverse That Number! Decoding Order Matters in Arithmetic Learning
by: Zhang-Li, Daniel, et al.
Published: (2024)
by: Zhang-Li, Daniel, et al.
Published: (2024)
Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning
by: Jin, Jikai, et al.
Published: (2025)
by: Jin, Jikai, et al.
Published: (2025)
Better Generative Replay for Continual Federated Learning
by: Qi, Daiqing, et al.
Published: (2023)
by: Qi, Daiqing, et al.
Published: (2023)
Entity-Augmented Neuroscience Knowledge Retrieval Using Ontology and Semantic Understanding Capability of LLM
by: Ta, Pralaypati, et al.
Published: (2025)
by: Ta, Pralaypati, et al.
Published: (2025)
Hybrid Verified Decoding: Learning to Allocate Verification in Speculative Decoding
by: Su, Xin, et al.
Published: (2026)
by: Su, Xin, et al.
Published: (2026)
Neural Diversity Regularizes Hallucinations in Language Models
by: Chakrabarti, Kushal, et al.
Published: (2025)
by: Chakrabarti, Kushal, et al.
Published: (2025)
Extracting Training Data from Diffusion Language Models via Infilling
by: Wang, Yihan, et al.
Published: (2026)
by: Wang, Yihan, et al.
Published: (2026)
Disentangled and Self-Explainable Node Representation Learning
by: Piaggesi, Simone, et al.
Published: (2024)
by: Piaggesi, Simone, et al.
Published: (2024)
AttentionRAG: Attention-Guided Context Pruning in Retrieval-Augmented Generation
by: Fang, Yixiong, et al.
Published: (2025)
by: Fang, Yixiong, et al.
Published: (2025)
Similar Items
-
CoT Referring: Improving Referring Expression Tasks with Grounded Reasoning
by: Dong, Qihua, et al.
Published: (2025) -
FINEMATCH: Aspect-based Fine-grained Image and Text Mismatch Detection and Correction
by: Hua, Hang, et al.
Published: (2024) -
Unlocking Prompt Infilling Capability for Diffusion Language Models
by: Fujinuma, Yoshinari, et al.
Published: (2026) -
Visual Grounding Methods for VQA are Working for the Wrong Reasons!
by: Shrestha, Robik, et al.
Published: (2020) -
Seeing Through Words: Controlling Visual Retrieval Quality with Language Models
by: Lu, Jianglin, et al.
Published: (2026)