:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Rugina, Ileana, Dangovski, Rumen, Jing, Li, Nakov, Preslav, Soljačić, Marin
Format:	Preprint
Published:	2020
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2012.02030
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Learning
by: Ramírez, Guillem, et al.
Published: (2020)

QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning
by: Luo, Di, et al.
Published: (2022)

OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step
by: Dugan, Owen, et al.
Published: (2024)

Active learning for photonic crystals
by: Lopez, Ryan, et al.
Published: (2026)

QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation
by: Chen, Zhuo, et al.
Published: (2024)

Pruning for Protection: Increasing Jailbreak Resistance in Aligned LLMs Without Fine-Tuning
by: Hasan, Adib, et al.
Published: (2024)

DUAL-Bench: Measuring Over-Refusal and Robustness in Vision-Language Models
by: Ren, Kaixuan, et al.
Published: (2025)

Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition
by: Alhindi, Tariq, et al.
Published: (2023)

Rethinking STS and NLI in Large Language Models
by: Wang, Yuxia, et al.
Published: (2023)

CoDet-M4: Detecting Machine-Generated Code in Multi-Lingual, Multi-Generator and Multi-Domain Settings
by: Orel, Daniil, et al.
Published: (2025)

From Chaos to Clarity: Claim Normalization to Empower Fact-Checking
by: Sundriyal, Megha, et al.
Published: (2023)

Adapting Fake News Detection to the Era of Large Language Models
by: Su, Jinyan, et al.
Published: (2023)

UnsafeChain: Enhancing Reasoning Model Safety via Hard Cases
by: Tomar, Raj Vardhan, et al.
Published: (2025)

How Does Prefix Matter in Reasoning Model Tuning?
by: Tomar, Raj Vardhan, et al.
Published: (2026)

MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing
by: Agarwal, Siddhant, et al.
Published: (2024)

ConspirED: A Dataset for Cognitive Traits of Conspiracy Theories and Large Language Model Safety
by: Bates, Luke, et al.
Published: (2025)

MuDRiC: Multi-Dialect Reasoning for Arabic Commonsense Validation
by: Elozeiri, Kareem, et al.
Published: (2025)

UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models
by: Vashurin, Roman, et al.
Published: (2025)

Missci: Reconstructing Fallacies in Misrepresented Science
by: Glockner, Max, et al.
Published: (2024)

Grounding Fallacies Misrepresenting Scientific Publications in Evidence
by: Glockner, Max, et al.
Published: (2024)

MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media
by: Manzoor, Muhammad Arslan, et al.
Published: (2024)

Multimodal Large Language Models to Support Real-World Fact-Checking
by: Geng, Jiahui, et al.
Published: (2024)

Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs
by: Su, Jinyan, et al.
Published: (2025)

Can Machines Resonate with Humans? Evaluating the Emotional and Empathic Comprehension of LMs
by: Manzoor, Muhammad Arslan, et al.
Published: (2024)

Generating Zero-shot Abstractive Explanations for Rumour Verification
by: Bilal, Iman Munire, et al.
Published: (2024)

Beyond "Not Novel Enough": Enriching Scholarly Critique with LLM-Assisted Feedback
by: Afzal, Osama Mohammed, et al.
Published: (2025)

A Template Is All You Meme
by: Bates, Luke, et al.
Published: (2023)

DP-Fusion: Token-Level Differentially Private Inference for Large Language Models
by: Thareja, Rushil, et al.
Published: (2025)

Adaptive Conformal Prediction for Improving Factuality of Generations by Large Language Models
by: Rubashevskii, Aleksandr, et al.
Published: (2026)

Co-FactChecker: A Framework for Human-AI Collaborative Claim Verification Using Large Reasoning Models
by: Sahnan, Dhruv, et al.
Published: (2026)

ExaGPT: Example-Based Machine-Generated Text Detection for Human Interpretability
by: Koike, Ryuto, et al.
Published: (2025)

Exploring Language Model Generalization in Low-Resource Extractive QA
by: Sengupta, Saptarshi, et al.
Published: (2024)

FMI_SU_Yotkova_Kastreva at SemEval-2026 Task 13: Lightweight Detection of LLM-Generated Code via Stylometric Signals
by: Yotkova, Elitsa, et al.
Published: (2026)

Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models
by: Gao, Lang, et al.
Published: (2024)

Arabic Dataset for LLM Safeguard Evaluation
by: Ashraf, Yasser, et al.
Published: (2024)

COMMUNITYNOTES: A Dataset for Exploring the Helpfulness of Fact-Checking Explanations
by: Xing, Rui, et al.
Published: (2025)

HALF: Harm-Aware LLM Fairness Evaluation Aligned with Deployment
by: Mekky, Ali, et al.
Published: (2025)

Detecting Propaganda Techniques in Code-Switched Social Media Text
by: Salman, Muhammad Umar, et al.
Published: (2023)

Instruction Tuning on Public Government and Cultural Data for Low-Resource Language: a Case Study in Kazakh
by: Laiyk, Nurkhan, et al.
Published: (2025)

Explicit and Implicit Data Augmentation for Social Event Detection
by: Ma, Congbo, et al.
Published: (2025)