:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Meital, Shai, Rokach, Lior, Vainshtein, Roman, Grinberg, Nir
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Machine Learning
Online Access:	https://arxiv.org/abs/2404.13613
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DFPE: A Diverse Fingerprint Ensemble for Enhancing LLM Performance
by: Cohen, Seffi, et al.
Published: (2025)

Forget What You Know about LLMs Evaluations -- LLMs are Like a Chameleon
by: Cohen-Inger, Nurit, et al.
Published: (2025)

X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation
by: Hadad, Guy, et al.
Published: (2025)

CUPCase: Clinically Uncommon Patient Cases and Diagnoses Dataset
by: Perets, Oriel, et al.
Published: (2025)

Dark LLMs: The Growing Threat of Unaligned AI Models
by: Fire, Michael, et al.
Published: (2025)

BagStacking: An Integrated Ensemble Learning Approach for Freezing of Gait Detection in Parkinson's Disease
by: Cohen, Seffi, et al.
Published: (2024)

Thought Branches: Interpreting LLM Reasoning Requires Resampling
by: Macar, Uzay, et al.
Published: (2025)

Internal Planning in Language Models: Characterizing Horizon and Branch Awareness
by: Ustaomeroglu, Muhammed, et al.
Published: (2025)

Multiplex Thinking: Reasoning via Token-wise Branch-and-Merge
by: Tang, Yao, et al.
Published: (2026)

NOBLE: Accelerating Transformers with Nonlinear Low-Rank Branches
by: Smith, Ethan
Published: (2026)

Spark: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic Learning
by: Wu, Jinyang, et al.
Published: (2026)

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation
by: Saha, Swarnadeep, et al.
Published: (2023)

Branch-and-Browse: Efficient and Controllable Web Exploration with Tree-Structured Reasoning and Action Memory
by: He, Shiqi, et al.
Published: (2025)

A data science and machine learning approach to continuous analysis of Shakespeare's plays
by: Swisher, Charles, et al.
Published: (2023)

Enhancing the General Agent Capabilities of Low-Parameter LLMs through Tuning and Multi-Branch Reasoning
by: Zhou, Qinhao, et al.
Published: (2024)

Predicting Evoked Emotions in Conversations
by: Altarawneh, Enas, et al.
Published: (2023)

The Path Not Taken: Duality in Reasoning about Program Execution
by: Hasanov, Eshgin, et al.
Published: (2026)

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems
by: Cohen-Inger, Nurit, et al.
Published: (2025)

Mitigating Copy Bias in In-Context Learning through Neuron Pruning
by: Ali, Ameen, et al.
Published: (2024)

HealthBranches: Synthesizing Clinically-Grounded Question Answering Datasets via Decision Pathways
by: Cosentino, Cristian, et al.
Published: (2025)

SALSA: Single-pass Autoregressive LLM Structured Classification
by: Berdichevsky, Ruslan, et al.
Published: (2025)

Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation
by: Cohen, Seffi, et al.
Published: (2021)

Adaptive Branch-and-Bound Tree Exploration for Neural Network Verification
by: Fukuda, Kota, et al.
Published: (2025)

MB-ORES: A Multi-Branch Object Reasoner for Visual Grounding in Remote Sensing
by: Radouane, Karim, et al.
Published: (2025)

The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language Models
by: Sawmya, Shashata, et al.
Published: (2025)

Optimizing Pre-Training Data Mixtures with Mixtures of Data Expert Models
by: Belenki, Lior, et al.
Published: (2025)

Detecting and Pruning Prominent but Detrimental Neurons in Large Language Models
by: Ali, Ameen, et al.
Published: (2025)

Jamba: A Hybrid Transformer-Mamba Language Model
by: Lieber, Opher, et al.
Published: (2024)

Toward Cultural Interpretability: A Linguistic Anthropological Framework for Describing and Evaluating Large Language Models (LLMs)
by: Jones, Graham M., et al.
Published: (2024)

Adversarial Intent is a Latent Variable: Stateful Trust Inference for Securing Multimodal Agentic RAG
by: Singh, Inderjeet, et al.
Published: (2026)

OnCoCo 1.0: A Public Dataset for Fine-Grained Message Classification in Online Counseling Conversations
by: Albrecht, Jens, et al.
Published: (2025)

Transformers represent belief state geometry in their residual stream
by: Shai, Adam S., et al.
Published: (2024)

LATMiX: Learnable Affine Transformations for Microscaling Quantization of LLMs
by: Gordon, Ofir, et al.
Published: (2026)

Limits to Predicting Online Speech Using Large Language Models
by: Remeli, Mina, et al.
Published: (2024)

FairTTTS: A Tree Test Time Simulation Method for Fairness-Aware Classification
by: Cohen-Inger, Nurit, et al.
Published: (2025)

Joint Detection of Fraud and Concept Drift inOnline Conversations with LLM-Assisted Judgment
by: Senol, Ali, et al.
Published: (2025)

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

Catalysts of Conversation: Examining Interaction Dynamics Between Topic Initiators and Commentors in Alzheimer's Disease Online Communities
by: Ni, Congning, et al.
Published: (2024)

Backward Lens: Projecting Language Model Gradients into the Vocabulary Space
by: Katz, Shahar, et al.
Published: (2024)

ML-SPEAK: A Theory-Guided Machine Learning Method for Studying and Predicting Conversational Turn-taking Patterns
by: O'Bryan, Lisa R., et al.
Published: (2024)