:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Loosmore, Stan, Titus, Alexander
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computation and Language
Online Access:	https://arxiv.org/abs/2411.13786
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Leverage Laws: A Per-Task Framework for Human-Agent Collaboration
by: Loosmore, Stan
Published: (2026)

Reliable, Adaptable, and Attributable Language Models with Retrieval
by: Asai, Akari, et al.
Published: (2024)

Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior
by: Cho, Youngjae, et al.
Published: (2024)

Nexus: Specialization meets Adaptability for Efficiently Training Mixture of Experts
by: Gritsch, Nikolas, et al.
Published: (2024)

Efficient and Adaptable Overlapping for Computation and Communication via Signaling and Reordering
by: Hong, Ke, et al.
Published: (2025)

AdaptDel: Adaptable Deletion Rate Randomized Smoothing for Certified Robustness
by: Huang, Zhuoqun, et al.
Published: (2025)

An Analysis of Embedding Layers and Similarity Scores using Siamese Neural Networks
by: Bingi, Yash, et al.
Published: (2023)

Toxicity Detection towards Adaptability to Changing Perturbations
by: Kang, Hankun, et al.
Published: (2024)

Unsupervised Text Embedding Space Generation Using Generative Adversarial Networks for Text Synthesis
by: Lee, Jun-Min, et al.
Published: (2023)

DisEmbed: Transforming Disease Understanding through Embeddings
by: Faroz, Salman
Published: (2024)

Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation
by: Frohmann, Markus, et al.
Published: (2024)

LongEmbed: Extending Embedding Models for Long Context Retrieval
by: Zhu, Dawei, et al.
Published: (2024)

Hierarchical Autoregressive Transformers: Combining Byte- and Word-Level Processing for Robust, Adaptable Language Models
by: Neitemeier, Pit, et al.
Published: (2025)

Selective Rotary Position Embedding
by: Movahedi, Sajad, et al.
Published: (2025)

Repetition Improves Language Model Embeddings
by: Springer, Jacob Mitchell, et al.
Published: (2024)

Dynamic Embeddings with Task-Oriented prompting
by: Balloccu, Allmin, et al.
Published: (2024)

2D Matryoshka Sentence Embeddings
by: Li, Xianming, et al.
Published: (2024)

Scaling Embedding Layers in Language Models
by: Yu, Da, et al.
Published: (2025)

Measuring Intrinsic Dimension of Token Embeddings
by: Kataiwa, Takuya, et al.
Published: (2025)

SDEC: Semantic Deep Embedded Clustering
by: Rahman, Mohammad Wali Ur, et al.
Published: (2025)

Music for All: Representational Bias and Cross-Cultural Adaptability of Music Generation Models
by: Mehta, Atharva, et al.
Published: (2025)

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques
by: Kabir, Muhammad Rafsan, et al.
Published: (2024)

Efficient Prompt Caching via Embedding Similarity
by: Zhu, Hanlin, et al.
Published: (2024)

On Debiasing Text Embeddings Through Context Injection
by: Uriot, Thomas
Published: (2024)

Mitigating Gender Bias in Contextual Word Embeddings
by: Yarrabelly, Navya, et al.
Published: (2024)

Embedding-Based Approaches to Hyperpartisan News Detection
by: Mohan, Karthik
Published: (2025)

Mechanistic Insights into Grokking from the Embedding Layer
by: AlquBoj, H. V., et al.
Published: (2025)

Align-then-Unlearn: Embedding Alignment for LLM Unlearning
by: Spohn, Philipp, et al.
Published: (2025)

Advancing Regular Language Reasoning in Linear Recurrent Neural Networks
by: Fan, Ting-Han, et al.
Published: (2023)

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

A Novel Spinor-Based Embedding Model for Transformers
by: White, Rick
Published: (2024)

DEPT: Decoupled Embeddings for Pre-training Language Models
by: Iacob, Alex, et al.
Published: (2024)

Hierarchical Embedding Fusion for Retrieval-Augmented Code Generation
by: Sorokin, Nikita, et al.
Published: (2026)

CEMTM: Contextual Embedding-based Multimodal Topic Modeling
by: Abaskohi, Amirhossein, et al.
Published: (2025)

Attention with Trained Embeddings Provably Selects Important Tokens
by: Wu, Diyuan, et al.
Published: (2025)

Challenging Assumptions in Learning Generic Text Style Embeddings
by: Ostheimer, Phil, et al.
Published: (2025)

Luxical: High-Speed Lexical-Dense Text Embeddings
by: DatologyAI, et al.
Published: (2025)

Geometry-Preserving Aggregation for Mixture-of-Experts Embedding Models
by: Kachuee, Sajjad, et al.
Published: (2026)

Sarcasm Detection in Tweets with BERT and GloVe Embeddings
by: Khatri, Akshay, et al.
Published: (2020)

Language Model Training Paradigms for Clinical Feature Embeddings
by: Hu, Yurong, et al.
Published: (2023)