Cover Image

Pruning Literals for Highly Efficient Explainability at Word Level

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yadav, Rohan Kumar, Bhattarai, Bimal, Jana, Abhik, Jiao, Lei, Yimam, Seid Muhie
Format:	Preprint
Published:	2024
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

Hate Speech Detection and Classification in Amharic Text with Deep Learning
by: Gashe, Samuel Minale, et al.
Published: (2024)

Scalable Multi-phase Word Embedding Using Conjunctive Propositional Clauses
by: Kadhim, Ahmed K., et al.
Published: (2025)

Whispering in Amharic: Fine-tuning Whisper for Low-resource Language
by: Gete, Dawit Ketema, et al.
Published: (2025)

FASCIST-O-METER: Classifier for Neo-fascist Discourse Online
by: Veliz, Rudy Alexandro Garrido, et al.
Published: (2025)

CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation
by: Chen, Tong, et al.
Published: (2024)

Words as Beacons: Guiding RL Agents with High-Level Language Prompts
by: Ruiz-Gonzalez, Unai, et al.
Published: (2024)

Exploring Boundaries and Intensities in Offensive and Hate Speech: Unveiling the Complex Spectrum of Social Media Discourse
by: Ayele, Abinew Ali, et al.
Published: (2024)

Reasoning Beyond Literal: Cross-style Multimodal Reasoning for Figurative Language Understanding
by: Cheshmi, Seyyed Saeid, et al.
Published: (2026)

High-Layer Attention Pruning with Rescaling
by: Liu, Songtao, et al.
Published: (2025)

On Importance of Pruning and Distillation for Efficient Low Resource NLP
by: Mirashi, Aishwarya, et al.
Published: (2024)

VOCABTRIM: Vocabulary Pruning for Efficient Speculative Decoding in LLMs
by: Goel, Raghavv, et al.
Published: (2025)

Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers
by: Anagnostidis, Sotiris, et al.
Published: (2023)

Group-Level Data Selection for Efficient Pretraining
by: Yu, Zichun, et al.
Published: (2025)

Kronecker Embeddings: Byte-Level Structured Token Representations for Parameter-Efficient Language Models
by: Shravan, Rohan
Published: (2026)

Language Model-Driven Data Pruning Enables Efficient Active Learning
by: Azeemi, Abdul Hameed, et al.
Published: (2024)

Towards Building Efficient Sentence BERT Models using Layer Pruning
by: Shelke, Anushka, et al.
Published: (2024)

EfficientXpert: Efficient Domain Adaptation for Large Language Models via Propagation-Aware Pruning
by: Zhao, Songlin, et al.
Published: (2025)

Efficient Post-Training Pruning of Large Language Models with Statistical Correction
by: Yu, Peiqi, et al.
Published: (2026)

Olica: Efficient Structured Pruning of Large Language Models without Retraining
by: He, Jiujun, et al.
Published: (2025)

SemRoDe: Macro Adversarial Training to Learn Representations That are Robust to Word-Level Attacks
by: Formento, Brian, et al.
Published: (2024)

Sheaf Discovery with Joint Computation Graph Pruning and Flexible Granularity
by: Yu, Lei, et al.
Published: (2024)

APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
by: Zhao, Bowen, et al.
Published: (2024)

Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Masking
by: Federici, Marco, et al.
Published: (2024)

Cut Your Losses! Learning to Prune Paths Early for Efficient Parallel Reasoning
by: Bi, Jiaxi, et al.
Published: (2026)

Reinterpreting 'the Company a Word Keeps': Towards Explainable and Ontologically Grounded Language Models
by: Saba, Walid S.
Published: (2024)

STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning
by: Lee, Jaeseong, et al.
Published: (2024)

Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs
by: Fu, Yao, et al.
Published: (2025)

An Improved Deep Learning Model for Word Embeddings Based Clustering for Large Text Datasets
by: Sutrakar, Vijay Kumar, et al.
Published: (2025)

Pruning Minimal Reasoning Graphs for Efficient Retrieval-Augmented Generation
by: Wang, Ning, et al.
Published: (2026)

LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation
by: Zhou, Hongyun, et al.
Published: (2024)

Pruning Unsafe Tickets: A Resource-Efficient Framework for Safer and More Robust LLMs
by: Si, Wai Man, et al.
Published: (2026)

Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes
by: Kolawole, Steven, et al.
Published: (2024)

IDEA Prune: An Integrated Enlarge-and-Prune Pipeline in Generative Language Model Pretraining
by: Li, Yixiao, et al.
Published: (2025)

gzip Predicts Data-dependent Scaling Laws
by: Pandey, Rohan
Published: (2024)

Condense, Don't Just Prune: Enhancing Efficiency and Performance in MoE Layer Pruning
by: Cao, Mingyu, et al.
Published: (2024)

Earley-Driven Dynamic Pruning for Efficient Structured Decoding
by: Sun, Xintong, et al.
Published: (2025)

A Word is Worth 4-bit: Efficient Log Parsing with Binary Coded Decimal Recognition
by: Srivastava, Prerak, et al.
Published: (2025)

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

On Pruning State-Space LLMs
by: Ghattas, Tamer, et al.
Published: (2025)

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach
by: Li, Jiyao, et al.
Published: (2024)