Cover Image

Rationalizing Transformer Predictions via End-To-End Differentiable Self-Training

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Brinner, Marc, Zarrieß, Sina
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SemCSE: Semantic Contrastive Sentence Embeddings Using LLM-Generated Summaries For Scientific Abstracts
by: Brinner, Marc, et al.
Published: (2025)

Model Interpretability and Rationale Extraction by Input Mask Optimization
by: Brinner, Marc, et al.
Published: (2025)

SemCSE-Multi: Multifaceted and Decodable Embeddings for Aspect-Specific and Interpretable Scientific Domain Mapping
by: Brinner, Marc, et al.
Published: (2025)

Enhancing Domain-Specific Encoder Models with LLM-Generated Data: How to Leverage Ontologies, and How to Do Without Them
by: Brinner, Marc, et al.
Published: (2025)

Efficient Scientific Full Text Classification: The Case of EICAT Impact Assessments
by: Brinner, Marc Felix, et al.
Published: (2025)

Predictive Concept Decoders: Training Scalable End-to-End Interpretability Assistants
by: Huang, Vincent, et al.
Published: (2025)

End-to-End Training for Back-Translation with Categorical Reparameterization Trick
by: Heo, DongNyeong, et al.
Published: (2022)

WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning
by: Wei, Zhepei, et al.
Published: (2025)

End-to-end Planner Training for Language Modeling
by: Cornille, Nathan, et al.
Published: (2024)

Janus-Q: End-to-End Event-Driven Trading via Hierarchical-Gated Reward Modeling
by: Li, Xiang, et al.
Published: (2026)

End-to-End Ontology Learning with Large Language Models
by: Lo, Andy, et al.
Published: (2024)

GIT-CXR: End-to-End Transformer for Chest X-Ray Report Generation
by: Sîrbu, Iustin, et al.
Published: (2025)

An End-to-End Approach for Child Reading Assessment in the Xhosa Language
by: Chevtchenko, Sergio, et al.
Published: (2025)

Autonoma: A Hierarchical Multi-Agent Framework for End-to-End Workflow Automation
by: Reda, Eslam, et al.
Published: (2026)

Developing an End-to-End Framework for Predicting the Social Communication Severity Scores of Children with Autism Spectrum Disorder
by: Mun, Jihyun, et al.
Published: (2024)

MATATA: Weakly Supervised End-to-End MAthematical Tool-Augmented Reasoning for Tabular Applications
by: Vinayagame, Vishnou, et al.
Published: (2024)

Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation
by: Li, Hao, et al.
Published: (2024)

Integrating Pre-Trained Speech and Language Models for End-to-End Speech Recognition
by: Hono, Yukiya, et al.
Published: (2023)

FLAME-MoE: A Transparent End-to-End Research Platform for Mixture-of-Experts Language Models
by: Kang, Hao, et al.
Published: (2025)

LKV: End-to-End Learning of Head-wise Budgets and Token Selection for LLM KV Cache Eviction
by: Zhou, Enshuai, et al.
Published: (2026)

End-To-End Causal Effect Estimation from Unstructured Natural Language Data
by: Dhawan, Nikita, et al.
Published: (2024)

Towards End-to-End Training of Automatic Speech Recognition for Nigerian Pidgin
by: Rufai, Amina Mardiyyah, et al.
Published: (2020)

On Next-Token Prediction in LLMs: How End Goals Determine the Consistency of Decoding Algorithms
by: Trauger, Jacob, et al.
Published: (2025)

Zero-Shot Generalizable End-to-End Task-Oriented Dialog System using Context Summarization and Domain Schema
by: Mosharrof, Adib, et al.
Published: (2023)

Generalizable End-to-End Tool-Use RL with Synthetic CodeGym
by: Du, Weihua, et al.
Published: (2025)

Towards End-to-End Spoken Grammatical Error Correction
by: Bannò, Stefano, et al.
Published: (2023)

SOMBRERO: Measuring and Steering Boundary Placement in End-to-End Hierarchical Sequence Models
by: Neitemeier, Pit, et al.
Published: (2026)

End-to-End Spoken Grammatical Error Correction
by: Qian, Mengjie, et al.
Published: (2025)

Continual Learning for Monolingual End-to-End Automatic Speech Recognition
by: Eeckt, Steven Vander, et al.
Published: (2021)

Analyzing Mitigation Strategies for Catastrophic Forgetting in End-to-End Training of Spoken Language Models
by: Hsiao, Chi-Yuan, et al.
Published: (2025)

Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization
by: Zamani, Hamed, et al.
Published: (2024)

End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF: A Reproducibility Study
by: Ganesh, Anirudh, et al.
Published: (2025)

SDialog: A Python Toolkit for End-to-End Agent Building, User Simulation, Dialog Generation, and Evaluation
by: Burdisso, Sergio, et al.
Published: (2025)

RIG: Synergizing Reasoning and Imagination in End-to-End Generalist Policy
by: Zhao, Zhonghan, et al.
Published: (2025)

Agentic AI framework for End-to-End Medical Data Inference
by: Shimgekar, Soorya Ram, et al.
Published: (2025)

Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection
by: Salzmann, Tim, et al.
Published: (2024)

Zero-Shot End-To-End Spoken Question Answering In Medical Domain
by: Labrak, Yanis, et al.
Published: (2024)

JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase
by: Ding, Wanying, et al.
Published: (2024)

Differential Transformer
by: Ye, Tianzhu, et al.
Published: (2024)

EMMA: End-to-End Multimodal Model for Autonomous Driving
by: Hwang, Jyh-Jing, et al.
Published: (2024)