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Language Modeling

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Showing 3026–3050 of 14182 papers

TitleStatusHype
BenchmarkCards: Large Language Model and Risk Reporting—0
PRefLexOR: Preference-based Recursive Language Modeling for Exploratory Optimization of Reasoning and Agentic ThinkingCode3
ShapefileGPT: A Multi-Agent Large Language Model Framework for Automated Shapefile Processing—0
Optimizing Low-Resource Language Model Training: Comprehensive Analysis of Multi-Epoch, Multi-Lingual, and Two-Stage Approaches—0
MedAide: Towards an Omni Medical Aide via Specialized LLM-based Multi-Agent Collaboration—0
HerO at AVeriTeC: The Herd of Open Large Language Models for Verifying Real-World ClaimsCode1
Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization—0
Iter-AHMCL: Alleviate Hallucination for Large Language Model via Iterative Model-level Contrastive Learning—0
Negative-Prompt-driven Alignment for Generative Language Model—0
Reverse-Engineering the ReaderCode0
End-to-end Planner Training for Language Modeling—0
Retrieval-Reasoning Large Language Model-based Synthetic Clinical Trial Generation—0
CREAM: Consistency Regularized Self-Rewarding Language ModelsCode1
HELM: Hierarchical Encoding for mRNA Language Modeling—0
Tracking Universal Features Through Fine-Tuning and Model Merging—0
StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples—0
Explainable Moral Values: a neuro-symbolic approach to value classification—0
Sarcasm Detection in a Less-Resourced LanguageCode0
Revisited Large Language Model for Time Series Analysis through Modality Alignment—0
VividMed: Vision Language Model with Versatile Visual Grounding for MedicineCode1
Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Generator-Validator Fine-tuningCode0
Search Engines in an AI Era: The False Promise of Factual and Verifiable Source-Cited ResponsesCode1
FVEval: Understanding Language Model Capabilities in Formal Verification of Digital HardwareCode1
Towards More Effective Table-to-Text Generation: Assessing In-Context Learning and Self-Evaluation with Open-Source Models—0
The Moral Case for Using Language Model Agents for Recommendation—0
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