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A large annotated corpus for learning natural language inference

A large annotated corpus for learning natural language inference

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015
21 August 2015
Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
ArXiv (abs)PDFHTML

Papers citing "A large annotated corpus for learning natural language inference"

50 / 2,429 papers shown
Title
Semantic Anchors in In-Context Learning: Why Small LLMs Cannot Flip Their Labels
Semantic Anchors in In-Context Learning: Why Small LLMs Cannot Flip Their Labels
Anantha Padmanaban Krishna Kumar
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26 Nov 2025
Don't Learn, Ground: A Case for Natural Language Inference with Visual Grounding
Don't Learn, Ground: A Case for Natural Language Inference with Visual Grounding
Daniil Ignatev
Ayman Santeer
Albert Gatt
Denis Paperno
56
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21 Nov 2025
Stable Coresets via Posterior Sampling: Aligning Induced and Full Loss Landscapes
Stable Coresets via Posterior Sampling: Aligning Induced and Full Loss Landscapes
Wei-Kai Chang
Rajiv Khanna
89
0
0
21 Nov 2025
HEAD-QA v2: Expanding a Healthcare Benchmark for Reasoning
HEAD-QA v2: Expanding a Healthcare Benchmark for Reasoning
Alexis Correa-Guillén
Carlos Gómez-Rodríguez
David Vilares
LRM
110
0
0
19 Nov 2025
Adaptive Hyperbolic Kernels: Modulated Embedding in de Branges-Rovnyak Spaces
Adaptive Hyperbolic Kernels: Modulated Embedding in de Branges-Rovnyak Spaces
Leping Si
Meimei Yang
H. Xue
Shipeng Zhu
Pengfei Fang
29
0
0
13 Nov 2025
DP-AdamW: Investigating Decoupled Weight Decay and Bias Correction in Private Deep Learning
DP-AdamW: Investigating Decoupled Weight Decay and Bias Correction in Private Deep Learning
Jay Chooi
Kevin Cong
Russell Li
Lillian Sun
36
1
0
11 Nov 2025
LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging
LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging
Seungeon Lee
Soumi Das
Manish Gupta
Krishna P. Gummadi
MoMe
364
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0
10 Nov 2025
Analyzing and Mitigating Negation Artifacts using Data Augmentation for Improving ELECTRA-Small Model Accuracy
Analyzing and Mitigating Negation Artifacts using Data Augmentation for Improving ELECTRA-Small Model Accuracy
Mojtaba Noghabaei
32
0
0
09 Nov 2025
ConMeZO: Adaptive Descent-Direction Sampling for Gradient-Free Finetuning of Large Language Models
ConMeZO: Adaptive Descent-Direction Sampling for Gradient-Free Finetuning of Large Language Models
Lejs Deen Behric
Liang Zhang
Bingcong Li
K. K. Thekumparampil
77
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0
04 Nov 2025
Metamorphic Testing of Large Language Models for Natural Language Processing
Metamorphic Testing of Large Language Models for Natural Language ProcessingIEEE International Conference on Software Maintenance and Evolution (ICSME), 2025
Steven Cho
Stefano Ruberto
Valerio Terragni
92
2
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03 Nov 2025
Dynamic Routing Between Experts: A Data-Efficient Approach to Continual Learning in Vision-Language Models
Dynamic Routing Between Experts: A Data-Efficient Approach to Continual Learning in Vision-Language Models
Jay Mohta
Kenan E. Ak
Dimitrios Dimitriadis
Yan Xu
Mingwei Shen
CLLVLM
194
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0
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PrefixNLI: Detecting Factual Inconsistencies as Soon as They Arise
PrefixNLI: Detecting Factual Inconsistencies as Soon as They Arise
Sapir Harary
Eran Hirsch
Aviv Slobodkin
David Wan
Mohit Bansal
Ido Dagan
HILM
317
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0
03 Nov 2025
Do Students Debias Like Teachers? On the Distillability of Bias Mitigation Methods
Do Students Debias Like Teachers? On the Distillability of Bias Mitigation Methods
Jiali Cheng
Chirag Agarwal
Hadi Amiri
56
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0
30 Oct 2025
MERGE: Minimal Expression-Replacement GEneralization Test for Natural Language Inference
MERGE: Minimal Expression-Replacement GEneralization Test for Natural Language Inference
Mădălina Zgreabăn
Tejaswini Deoskar
Lasha Abzianidze
44
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0
28 Oct 2025
AfriMTEB and AfriE5: Benchmarking and Adapting Text Embedding Models for African Languages
AfriMTEB and AfriE5: Benchmarking and Adapting Text Embedding Models for African Languages
Kosei Uemura
Miaoran Zhang
David Ifeoluwa Adelani
58
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0
27 Oct 2025
SALSA: Single-pass Autoregressive LLM Structured Classification
SALSA: Single-pass Autoregressive LLM Structured Classification
Ruslan Berdichevsky
Shai Nahum-Gefen
Elad Ben Zaken
72
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0
26 Oct 2025
Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples
Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples
Shiva Sreeram
Alaa Maalouf
Pratyusha Sharma
Daniela Rus
88
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0
23 Oct 2025
\textsc{CantoNLU}: A benchmark for Cantonese natural language understanding
\textsc{CantoNLU}: A benchmark for Cantonese natural language understanding
Junghyun Min
York Hay Ng
Sophia Chan
Helena Shunhua Zhao
En-Shiun Annie Lee
ELM
72
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ProfBench: Multi-Domain Rubrics requiring Professional Knowledge to Answer and Judge
ProfBench: Multi-Domain Rubrics requiring Professional Knowledge to Answer and Judge
Zhilin Wang
Jaehun Jung
Ximing Lu
Boyao Wang
Ellie Evans
Jiaqi Zeng
Pavlo Molchanov
Yejin Choi
Jan Kautz
Yi Dong
ELM
56
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Learning Task-Agnostic Representations through Multi-Teacher Distillation
Learning Task-Agnostic Representations through Multi-Teacher Distillation
Philippe Formont
Maxime Darrin
Banafsheh Karimian
Jackie Chi Kit Cheung
Eric Granger
Ismail Ben Ayed
Mohammadhadi Shateri
Pablo Piantanida
88
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0
21 Oct 2025
Agree, Disagree, Explain: Decomposing Human Label Variation in NLI through the Lens of Explanations
Agree, Disagree, Explain: Decomposing Human Label Variation in NLI through the Lens of Explanations
Pingjun Hong
Beiduo Chen
Siyao Peng
M. Marneffe
Benjamin Roth
Barbara Plank
80
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Scaling Language-Centric Omnimodal Representation Learning
Scaling Language-Centric Omnimodal Representation Learning
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Mahani Aljunied
Yu Rong
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CoBia: Constructed Conversations Can Trigger Otherwise Concealed Societal Biases in LLMs
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Nafiseh Nikeghbal
Amir Hossein Kargaran
Jana Diesner
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10 Oct 2025
Man-Made Heuristics Are Dead. Long Live Code Generators!
Man-Made Heuristics Are Dead. Long Live Code Generators!
Rohit Dwivedula
Divyanshu Saxena
Aditya Akella
Swarat Chaudhuri
Daehyeok Kim
56
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0
09 Oct 2025
SocialNLI: A Dialogue-Centric Social Inference Dataset
SocialNLI: A Dialogue-Centric Social Inference Dataset
Akhil Deo
Kate Sanders
Benjamin Van Durme
84
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LegalWiz: A Multi-Agent Generation Framework for Contradiction Detection in Legal Documents
LegalWiz: A Multi-Agent Generation Framework for Contradiction Detection in Legal Documents
Ananya Mantravadi
Shivali Dalmia
Olga Pospelova
Abhishek Mukherji
Nand Dave
Anudha Mittal
99
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03 Oct 2025
LOGicalThought: Logic-Based Ontological Grounding of LLMs for High-Assurance Reasoning
LOGicalThought: Logic-Based Ontological Grounding of LLMs for High-Assurance Reasoning
Navapat Nananukul
Yue Zhang
Ryan Lee
Eric Boxer
Jonathan May
Vibhav Gogate
Jay Pujara
Mayank Kejriwal
LRM
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02 Oct 2025
F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data
F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data
Ziyin Zhang
Zihan Liao
Hang Yu
Peng Di
Rui Wang
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Fin-ExBERT: User Intent based Text Extraction in Financial Context using Graph-Augmented BERT and trainable Plugin
Fin-ExBERT: User Intent based Text Extraction in Financial Context using Graph-Augmented BERT and trainable Plugin
Soumick Sarker
Abhijit Kumar Rai
50
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Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models
Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models
Sina J. Semnani
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Arpandeep Khatua
Thanawan Atchariyachanvanit
Zheng Wang
M. Lam
KELM
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Fine-Grained Uncertainty Decomposition in Large Language Models: A Spectral Approach
Fine-Grained Uncertainty Decomposition in Large Language Models: A Spectral ApproachIEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2025
Nassim Walha
Sebastian G. Gruber
Thomas Decker
Yinchong Yang
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Eyke Hüllermeier
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UQCVUDPER
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Multilingual Vision-Language Models, A Survey
Multilingual Vision-Language Models, A Survey
Andrei-Alexandru Manea
Jindřich Libovický
VLM
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MonoCon: A general framework for learning ultra-compact high-fidelity representations using monotonicity constraints
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Document Summarization with Conformal Importance Guarantees
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AI4TS
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Extractive Fact Decomposition for Interpretable Natural Language Inference in one Forward Pass
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Accurate and Efficient Low-Rank Model Merging in Core Space
Accurate and Efficient Low-Rank Model Merging in Core Space
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LLMsPark: A Benchmark for Evaluating Large Language Models in Strategic Gaming Contexts
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Implementing a Logical Inference System for Japanese Comparatives
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Can Large Language Models Robustly Perform Natural Language Inference for Japanese Comparatives?
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Op-Fed: Opinion, Stance, and Monetary Policy Annotations on FOMC Transcripts Using Active Learning
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Magnitude Matters: a Superior Class of Similarity Metrics for Holistic Semantic Understanding
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GIER: Gap-Driven Self-Refinement for Large Language Models
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T-Retrievability: A Topic-Focused Approach to Measure Fair Document Exposure in Information Retrieval
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Beyond Benchmark: LLMs Evaluation with an Anthropomorphic and Value-oriented Roadmap
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CoBA: Counterbias Text Augmentation for Mitigating Various Spurious Correlations via Semantic Triples
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Juhwan Choi
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Better Language Model-Based Judging Reward Modeling through Scaling Comprehension Boundaries
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Randomly Removing 50% of Dimensions in Text Embeddings has Minimal Impact on Retrieval and Classification Tasks
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Steering When Necessary: Flexible Steering Large Language Models with Backtracking
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Cetvel: A Unified Benchmark for Evaluating Language Understanding, Generation and Cultural Capacity of LLMs for Turkish
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Native Logical and Hierarchical Representations with Subspace Embeddings
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