Cover Image

Learning Robust Negation Text Representations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Truong, Thinh Hung, Verspoor, Karin, Cohn, Trevor, Baldwin, Timothy
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Revisiting subword tokenization: A case study on affixal negation in large language models
by: Truong, Thinh Hung, et al.
Published: (2024)

Don't Ignore the Tail: Decoupling top-K Probabilities for Efficient Language Model Distillation
by: Dasgupta, Sayantan, et al.
Published: (2026)

Multi-EuP: The Multilingual European Parliament Dataset for Analysis of Bias in Information Retrieval
by: Yang, Jinrui, et al.
Published: (2023)

EMBRE: Entity-aware Masking for Biomedical Relation Extraction
by: Li, Mingjie, et al.
Published: (2024)

How Robust Are Large Language Models for Clinical Numeracy? An Empirical Study on Numerical Reasoning Abilities in Clinical Contexts
by: Nguyen, Minh-Vuong, et al.
Published: (2026)

Principles from Clinical Research for NLP Model Generalization
by: Elangovan, Aparna, et al.
Published: (2023)

RADS: Reinforcement Learning-Based Sample Selection Improves Transfer Learning in Low-resource and Imbalanced Clinical Settings
by: Han, Wei, et al.
Published: (2026)

Zero‐ and few‐shot prompting of generative large language models provides weak assessment of risk of bias in clinical trials
by: Simon Šuster, et al.
Published: (2024)

LoraxBench: A Multitask, Multilingual Benchmark Suite for 20 Indonesian Languages
by: Aji, Alham Fikri, et al.
Published: (2025)

FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness Evaluation
by: Otmakhova, Yulia, et al.
Published: (2025)

Mufu: Multilingual Fused Learning for Low-Resource Translation with LLM
by: Lim, Zheng Wei, et al.
Published: (2024)

Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agents
by: Wang, Renxi, et al.
Published: (2024)

Few-Shot Multilingual Open-Domain QA from 5 Examples
by: Jiang, Fan, et al.
Published: (2025)

Exploring Spatial Representations in the Historical Lake District Texts with LLM-based Relation Extraction
by: Haris, Erum, et al.
Published: (2024)

Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic Supervision
by: Jiang, Fan, et al.
Published: (2024)

Chasing Progress, Not Perfection: Revisiting Strategies for End-to-End LLM Plan Generation
by: Huang, Sukai, et al.
Published: (2024)

Large Reasoning Models Struggle to Transfer Parametric Knowledge Across Scripts
by: Bandarkar, Lucas, et al.
Published: (2026)

Disambiguating Complexity: From CAF to CAFIC: A Commentary on “Complexity and Difficulty in Second Language Acquisition: A Theoretical and Methodological Overview”
by: Marjolijn Verspoor
Published: (2024)

Language-Specific Latent Process Hinders Cross-Lingual Performance
by: Lim, Zheng Wei, et al.
Published: (2025)

Franken-Adapter: Cross-Lingual Adaptation of LLMs by Embedding Surgery
by: Jiang, Fan, et al.
Published: (2025)

Online Learning Defense against Iterative Jailbreak Attacks via Prompt Optimization
by: Kaneko, Masahiro, et al.
Published: (2025)

SEEP: Training Dynamics Grounds Latent Representation Search for Mitigating Backdoor Poisoning Attacks
by: He, Xuanli, et al.
Published: (2024)

A Little Leak Will Sink a Great Ship: Survey of Transparency for Large Language Models from Start to Finish
by: Kaneko, Masahiro, et al.
Published: (2024)

Does Vision Accelerate Hierarchical Generalization in Neural Language Learners?
by: Kuribayashi, Tatsuki, et al.
Published: (2023)

Knowledge Localization in Mixture-of-Experts LLMs Using Cross-Lingual Inconsistency
by: Bandarkar, Lucas, et al.
Published: (2026)

Balanced Multi-Factor In-Context Learning for Multilingual Large Language Models
by: Kaneko, Masahiro, et al.
Published: (2025)

Simpson's Paradox and the Accuracy-Fluency Tradeoff in Translation
by: Lim, Zheng Wei, et al.
Published: (2024)

Zero-Shot Performance Prediction for Probabilistic Scaling Laws
by: Schram, Viktoria, et al.
Published: (2025)

OpenWHO: A Document-Level Parallel Corpus for Health Translation in Low-Resource Languages
by: Merx, Raphaël, et al.
Published: (2025)

Inference-Time Selective Debiasing to Enhance Fairness in Text Classification Models
by: Kuzmin, Gleb, et al.
Published: (2024)

Location Aware Modular Biencoder for Tourism Question Answering
by: Li, Haonan, et al.
Published: (2024)

The Gaps between Pre-train and Downstream Settings in Bias Evaluation and Debiasing
by: Kaneko, Masahiro, et al.
Published: (2024)

Beyond the Resumé: A Rubric-Aware Automatic Interview System for Information Elicitation
by: Stuart, Harry, et al.
Published: (2026)

Eagle: Ethical Dataset Given from Real Interactions
by: Kaneko, Masahiro, et al.
Published: (2024)

Connecting the Dots in News Analysis: Bridging the Cross-Disciplinary Disparities in Media Bias and Framing
by: Vallejo, Gisela, et al.
Published: (2023)

Bits Leaked per Query: Information-Theoretic Bounds on Adversarial Attacks against LLMs
by: Kaneko, Masahiro, et al.
Published: (2025)

TULUN: Transparent and Adaptable Low-resource Machine Translation
by: Merx, Raphaël, et al.
Published: (2025)

SEA-SafeguardBench: Evaluating AI Safety in SEA Languages and Cultures
by: Tasawong, Panuthep, et al.
Published: (2025)

Backdoor Attack on Multilingual Machine Translation
by: Wang, Jun, et al.
Published: (2024)

Don't Throw Away Data: Better Sequence Knowledge Distillation
by: Wang, Jun, et al.
Published: (2024)