Cover Image

A MISMATCHED Benchmark for Scientific Natural Language Inference

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shaik, Firoz, Sadat, Mobashir, Gautam, Nikita, Caragea, Doina, Caragea, Cornelia
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

MSciNLI: A Diverse Benchmark for Scientific Natural Language Inference
by: Sadat, Mobashir, et al.
Published: (2024)

Co-training for Low Resource Scientific Natural Language Inference
by: Sadat, Mobashir, et al.
Published: (2024)

Let's Use ChatGPT To Write Our Paper! Benchmarking LLMs To Write the Introduction of a Research Paper
by: Garg, Krishna, et al.
Published: (2025)

Evaluating Large Language Models for Stance Detection on Financial Targets from SEC Filing Reports and Earnings Call Transcripts
by: Gyawali, Nikesh, et al.
Published: (2025)

The Shifting Landscape of Vaccine Discourse: Insights From a Decade of Pre- to Post-COVID-19 Vaccine Posts on Social Media
by: Gyawali, Nikesh, et al.
Published: (2025)

BLooP: Zero-Shot Abstractive Summarization using Large Language Models with Bigram Lookahead Promotion
by: Iyer, Varun, et al.
Published: (2026)

A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus
by: Poesina, Eduard, et al.
Published: (2024)

Stanceformer: Target-Aware Transformer for Stance Detection
by: Garg, Krishna, et al.
Published: (2024)

LLM-guided Semi-Supervised Approaches for Social Media Crisis Data Classification
by: Ativo, Jacob, et al.
Published: (2026)

Leveraging Large Language Models for Automated Scalable Development of Open Scientific Databases
by: Gautam, Nikita, et al.
Published: (2026)

Zero-Shot Verification-guided Chain of Thoughts
by: Chowdhury, Jishnu Ray, et al.
Published: (2025)

MADIAVE: Multi-Agent Debate for Implicit Attribute Value Extraction
by: Huang, Wei-Chieh, et al.
Published: (2025)

Language Models (Mostly) Do Not Consider Emotion Triggers When Predicting Emotion
by: Singh, Smriti, et al.
Published: (2023)

How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics
by: Cosma, Adrian, et al.
Published: (2024)

Zero-Shot Keyphrase Generation: Investigating Specialized Instructions and Multi-Sample Aggregation on Large Language Models
by: Mohan, Jayanth, et al.
Published: (2025)

MSGL-Transformer: A Multi-Scale Global-Local Transformer for Rodent Social Behavior Recognition
by: Sharif, Muhammad Imran, et al.
Published: (2026)

SciER: An Entity and Relation Extraction Dataset for Datasets, Methods, and Tasks in Scientific Documents
by: Zhang, Qi, et al.
Published: (2024)

Investigating Recurrent Transformers with Dynamic Halt
by: Chowdhury, Jishnu Ray, et al.
Published: (2024)

DynClean: Training Dynamics-based Label Cleaning for Distantly-Supervised Named Entity Recognition
by: Zhang, Qi, et al.
Published: (2025)

MultiMatch: Multihead Consistency Regularization Matching for Semi-Supervised Text Classification
by: Sirbu, Iustin, et al.
Published: (2025)

Benchmarking Android Malware Detection: Traditional vs. Deep Learning Models
by: Liu, Guojun, et al.
Published: (2025)

ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction
by: Zou, Henry Peng, et al.
Published: (2024)

LLM-Guided Co-Training for Text Classification
by: Rahman, Md Mezbaur, et al.
Published: (2025)

On the Design Space Between Transformers and Recursive Neural Nets
by: Chowdhury, Jishnu Ray, et al.
Published: (2024)

Active Few-Shot Learning for Text Classification
by: Ahmadnia, Saeed, et al.
Published: (2025)

Practical Insights into Semi-Supervised Object Detection Approaches
by: Wang, Chaoxin, et al.
Published: (2026)

CalibrateMix: Guided-Mixup Calibration of Image Semi-Supervised Models
by: Rahman, Mehrab Mustafy, et al.
Published: (2025)

FlowLearn: Evaluating Large Vision-Language Models on Flowchart Understanding
by: Pan, Huitong, et al.
Published: (2024)

The Impact of Train-Test Leakage on Machine Learning-based Android Malware Detection
by: Liu, Guojun, et al.
Published: (2024)

EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM
by: Zou, Henry Peng, et al.
Published: (2024)

SciDMT: A Large-Scale Corpus for Detecting Scientific Mentions
by: Pan, Huitong, et al.
Published: (2024)

Natural Language Processing for Human Resources: A Survey
by: Otani, Naoki, et al.
Published: (2024)

A New Benchmark Dataset and Mixture-of-Experts Language Models for Adversarial Natural Language Inference in Vietnamese
by: Van Huynh, Tin, et al.
Published: (2024)

On the Effectiveness of Large Language Models in Automating Categorization of Scientific Texts
by: Shahi, Gautam Kishore, et al.
Published: (2025)

TuringQ: Benchmarking AI Comprehension in Theory of Computation
by: Zahraei, Pardis Sadat, et al.
Published: (2024)

LogicDiff: Logic-Guided Denoising Improves Zero-Shot Reasoning in Masked Diffusion Language Models
by: Aman, Shaik
Published: (2026)

A Large Language Model and Denoising Diffusion Framework for Targeted Design of Microstructures with Commands in Natural Language
by: Kartashov, Nikita, et al.
Published: (2024)

Explicit Grammar Semantic Feature Fusion for Robust Text Classification
by: Sultana, Azrin, et al.
Published: (2026)

On Reference (In-)Determinacy in Natural Language Inference
by: Chen, Sihao, et al.
Published: (2025)

Beyond Easy Wins: A Text Hardness-Aware Benchmark for LLM-generated Text Detection
by: Ayoobi, Navid, et al.
Published: (2025)