Saved in:
| Main Authors: | Sarthi, Parth, Abdullah, Salman, Tuli, Aditi, Khanna, Shubh, Goldie, Anna, Manning, Christopher D. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.18059 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Recursive Abstractive Processing for Retrieval in Dynamic Datasets
by: Chucri, Charbel, et al.
Published: (2024)
by: Chucri, Charbel, et al.
Published: (2024)
Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use
by: Goldie, Anna, et al.
Published: (2025)
by: Goldie, Anna, et al.
Published: (2025)
BRIDO: Bringing Democratic Order to Abstractive Summarization
by: Lee, Junhyun, et al.
Published: (2025)
by: Lee, Junhyun, et al.
Published: (2025)
A New Pair of GloVes
by: Carlson, Riley, et al.
Published: (2025)
by: Carlson, Riley, et al.
Published: (2025)
Self-Evaluating LLMs for Multi-Step Tasks: Stepwise Confidence Estimation for Failure Detection
by: Mavi, Vaibhav, et al.
Published: (2025)
by: Mavi, Vaibhav, et al.
Published: (2025)
LOCOST: State-Space Models for Long Document Abstractive Summarization
by: Bronnec, Florian Le, et al.
Published: (2024)
by: Bronnec, Florian Le, et al.
Published: (2024)
Cmprsr: Abstractive Token-Level Question-Agnostic Prompt Compressor
by: Zakazov, Ivan, et al.
Published: (2025)
by: Zakazov, Ivan, et al.
Published: (2025)
Abstractive Text Summarization: State of the Art, Challenges, and Improvements
by: Shakil, Hassan, et al.
Published: (2024)
by: Shakil, Hassan, et al.
Published: (2024)
Do "English" Named Entity Recognizers Work Well on Global Englishes?
by: Shan, Alexander, et al.
Published: (2024)
by: Shan, Alexander, et al.
Published: (2024)
Incorporating Distributions of Discourse Structure for Long Document Abstractive Summarization
by: Liu, Dongqi, et al.
Published: (2023)
by: Liu, Dongqi, et al.
Published: (2023)
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts
by: Sheokand, Manik, et al.
Published: (2025)
by: Sheokand, Manik, et al.
Published: (2025)
Abstractive summarization from Audio Transcription
by: Derkach, Ilia
Published: (2024)
by: Derkach, Ilia
Published: (2024)
MrT5: Dynamic Token Merging for Efficient Byte-level Language Models
by: Kallini, Julie, et al.
Published: (2024)
by: Kallini, Julie, et al.
Published: (2024)
Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization
by: Xu, Lei, et al.
Published: (2024)
by: Xu, Lei, et al.
Published: (2024)
Improving Faithfulness of Abstractive Summarization by Controlling Confounding Effect of Irrelevant Sentences
by: Ghoshal, Asish, et al.
Published: (2022)
by: Ghoshal, Asish, et al.
Published: (2022)
A Second Look on BASS -- Boosting Abstractive Summarization with Unified Semantic Graphs -- A Replication Study
by: Koraş, Osman Alperen, et al.
Published: (2024)
by: Koraş, Osman Alperen, et al.
Published: (2024)
pyvene: A Library for Understanding and Improving PyTorch Models via Interventions
by: Wu, Zhengxuan, et al.
Published: (2024)
by: Wu, Zhengxuan, et al.
Published: (2024)
L3Cube-MahaSum: A Comprehensive Dataset and BART Models for Abstractive Text Summarization in Marathi
by: Deshmukh, Pranita, et al.
Published: (2024)
by: Deshmukh, Pranita, et al.
Published: (2024)
Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models
by: Song, Jongyoon, et al.
Published: (2024)
by: Song, Jongyoon, et al.
Published: (2024)
uMedSum: A Unified Framework for Advancing Medical Abstractive Summarization
by: Nagar, Aishik, et al.
Published: (2024)
by: Nagar, Aishik, et al.
Published: (2024)
Improving Sequence-to-Sequence Models for Abstractive Text Summarization Using Meta Heuristic Approaches
by: Saxena, Aditya, et al.
Published: (2024)
by: Saxena, Aditya, et al.
Published: (2024)
Adversarial Text Purification: A Large Language Model Approach for Defense
by: Moraffah, Raha, et al.
Published: (2024)
by: Moraffah, Raha, et al.
Published: (2024)
Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
by: Bae, Sangmin, et al.
Published: (2025)
by: Bae, Sangmin, et al.
Published: (2025)
Neural Sequence-to-Sequence Modeling with Attention by Leveraging Deep Learning Architectures for Enhanced Contextual Understanding in Abstractive Text Summarization
by: Challagundla, Bhavith Chandra, et al.
Published: (2024)
by: Challagundla, Bhavith Chandra, et al.
Published: (2024)
Thoughtbubbles: an Unsupervised Method for Parallel Thinking in Latent Space
by: Liu, Houjun, et al.
Published: (2025)
by: Liu, Houjun, et al.
Published: (2025)
DisEmbed: Transforming Disease Understanding through Embeddings
by: Faroz, Salman
Published: (2024)
by: Faroz, Salman
Published: (2024)
Domain-Adaptive Continued Pre-Training of Small Language Models
by: Faroz, Salman
Published: (2025)
by: Faroz, Salman
Published: (2025)
Watch the Weights: Unsupervised monitoring and control of fine-tuned LLMs
by: Zhong, Ziqian, et al.
Published: (2025)
by: Zhong, Ziqian, et al.
Published: (2025)
Neural Information Organizing and Processing -- Neural Machines
by: Petrila, Iosif Iulian
Published: (2024)
by: Petrila, Iosif Iulian
Published: (2024)
SIEVE: Sample-Efficient Parametric Learning from Natural Language
by: Asawa, Parth, et al.
Published: (2026)
by: Asawa, Parth, et al.
Published: (2026)
ReFT: Representation Finetuning for Language Models
by: Wu, Zhengxuan, et al.
Published: (2024)
by: Wu, Zhengxuan, et al.
Published: (2024)
Recursive Models for Long-Horizon Reasoning
by: Yang, Chenxiao, et al.
Published: (2026)
by: Yang, Chenxiao, et al.
Published: (2026)
RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization
by: Liu, Dongqi, et al.
Published: (2024)
by: Liu, Dongqi, et al.
Published: (2024)
A Systematic Study of Retrieval Pipeline Design for Retrieval-Augmented Medical Question Answering
by: Sultana, Nusrat, et al.
Published: (2026)
by: Sultana, Nusrat, et al.
Published: (2026)
Embodied AI with Foundation Models for Mobile Service Robots: A Systematic Review
by: Lisondra, Matthew, et al.
Published: (2025)
by: Lisondra, Matthew, et al.
Published: (2025)
Synthesizing Scientific Summaries: An Extractive and Abstractive Approach
by: Sharma, Grishma, et al.
Published: (2024)
by: Sharma, Grishma, et al.
Published: (2024)
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
by: Rafailov, Rafael, et al.
Published: (2023)
by: Rafailov, Rafael, et al.
Published: (2023)
Understanding Finetuning for Factual Knowledge Extraction
by: Ghosal, Gaurav, et al.
Published: (2024)
by: Ghosal, Gaurav, et al.
Published: (2024)
ImpossibleBench: Measuring LLMs' Propensity of Exploiting Test Cases
by: Zhong, Ziqian, et al.
Published: (2025)
by: Zhong, Ziqian, et al.
Published: (2025)
LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation
by: Bishop, Jennifer A, et al.
Published: (2023)
by: Bishop, Jennifer A, et al.
Published: (2023)
Similar Items
-
Recursive Abstractive Processing for Retrieval in Dynamic Datasets
by: Chucri, Charbel, et al.
Published: (2024) -
Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use
by: Goldie, Anna, et al.
Published: (2025) -
BRIDO: Bringing Democratic Order to Abstractive Summarization
by: Lee, Junhyun, et al.
Published: (2025) -
A New Pair of GloVes
by: Carlson, Riley, et al.
Published: (2025) -
Self-Evaluating LLMs for Multi-Step Tasks: Stepwise Confidence Estimation for Failure Detection
by: Mavi, Vaibhav, et al.
Published: (2025)