:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Aluguvelly, Avinash Goutham
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2604.16787
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MorphNLI: A Stepwise Approach to Natural Language Inference Using Text Morphing
by: Negru, Vlad Andrei, et al.
Published: (2025)

ViLegalNLI: Natural Language Inference for Vietnamese Legal Texts
by: Duong, Nhung Thi-Hong, et al.
Published: (2026)

Mitigating Spurious Correlations in NLI via LLM-Synthesized Counterfactuals and Dynamic Balanced Sampling
by: Jaimes, Christopher Román
Published: (2025)

PrefixNLI: Detecting Factual Inconsistencies as Soon as They Arise
by: Harary, Sapir, et al.
Published: (2025)

XNLIeu: a dataset for cross-lingual NLI in Basque
by: Heredia, Maite, et al.
Published: (2024)

Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations
by: Quan, Xin, et al.
Published: (2025)

Affective-NLI: Towards Accurate and Interpretable Personality Recognition in Conversation
by: Wen, Zhiyuan, et al.
Published: (2024)

NL-Eye: Abductive NLI for Images
by: Ventura, Mor, et al.
Published: (2024)

Sarang at DEFACTIFY 4.0: Detecting AI-Generated Text Using Noised Data and an Ensemble of DeBERTa Models
by: Trivedi, Avinash, et al.
Published: (2025)

The Art of Breaking Words: Rethinking Multilingual Tokenizer Design
by: Thakur, Aamod, et al.
Published: (2025)

READ: Reinforcement-based Adversarial Learning for Text Classification with Limited Labeled Data
by: Sharma, Rohit, et al.
Published: (2025)

Cognitive-Mental-LLM: Evaluating Reasoning in Large Language Models for Mental Health Prediction via Online Text
by: Patil, Avinash, et al.
Published: (2025)

Data-efficient Targeted Token-level Preference Optimization for LLM-based Text-to-Speech
by: Kotoge, Rikuto, et al.
Published: (2025)

Text Classification Under Class Distribution Shift: A Survey
by: Costache, Adriana Valentina, et al.
Published: (2025)

First Train to Generate, then Generate to Train: UnitedSynT5 for Few-Shot NLI
by: Banerjee, Sourav, et al.
Published: (2024)

Say Anything but This: When Tokenizer Betrays Reasoning in LLMs
by: Ayoobi, Navid, et al.
Published: (2026)

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization
by: Fu, Lucheng, et al.
Published: (2026)

Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMs
by: Meng, Haoming, et al.
Published: (2026)

Revisiting NLI: Towards Cost-Effective and Human-Aligned Metrics for Evaluating LLMs in Question Answering
by: Balamurali, Sai Shridhar, et al.
Published: (2025)

Cross-Document Cross-Lingual NLI via RST-Enhanced Graph Fusion and Interpretability Prediction
by: Yuan, Mengying, et al.
Published: (2025)

HALT-RAG: A Task-Adaptable Framework for Hallucination Detection with Calibrated NLI Ensembles and Abstention
by: Goswami, Saumya, et al.
Published: (2025)

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency
by: Zeng, Yuting, et al.
Published: (2025)

Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for Ensembling
by: Yu, Yao-Ching, et al.
Published: (2024)

Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models
by: Arakelyan, Erik, et al.
Published: (2024)

Support-Contra Asymmetry in LLM Explanations
by: Patil, Avinash
Published: (2025)

Text Generation Beyond Discrete Token Sampling
by: Zhuang, Yufan, et al.
Published: (2025)

Is Your Paper Being Reviewed by an LLM? Benchmarking AI Text Detection in Peer Review
by: Yu, Sungduk, et al.
Published: (2025)

Is Your Paper Being Reviewed by an LLM? Investigating AI Text Detectability in Peer Review
by: Yu, Sungduk, et al.
Published: (2024)

Targeted Remasking: Replacing Token Editing with Token-to-Mask Refinement in Discrete Diffusion Language Models
by: Yao, Lin
Published: (2026)

When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMs
by: Sun, Zhongxiang, et al.
Published: (2026)

FZI-WIM at SemEval-2024 Task 2: Self-Consistent CoT for Complex NLI in Biomedical Domain
by: Liu, Jin, et al.
Published: (2024)

Forget NLI, Use a Dictionary: Zero-Shot Topic Classification for Low-Resource Languages with Application to Luxembourgish
by: Philippy, Fred, et al.
Published: (2024)

Thunder-Tok: Minimizing Tokens per Word in Tokenizing Korean Texts for Generative Language Models
by: Cho, Gyeongje, et al.
Published: (2025)

Token Masking Improves Transformer-Based Text Classification
by: Xu, Xianglong, et al.
Published: (2025)

Explainability-Based Token Replacement on LLM-Generated Text
by: Mohammadi, Hadi, et al.
Published: (2025)

Training Text-to-Molecule Models with Context-Aware Tokenization
by: Kim, Seojin, et al.
Published: (2025)

Logic-Parametric Neuro-Symbolic NLI: Controlling Logical Formalisms for Verifiable LLM Reasoning
by: Farjami, Ali, et al.
Published: (2026)

Amplify Adjacent Token Differences: Enhancing Long Chain-of-Thought Reasoning with Shift-FFN
by: Xu, Yao, et al.
Published: (2025)

Understanding and Mitigating Tokenization Bias in Language Models
by: Phan, Buu, et al.
Published: (2024)

Text or Pixels? It Takes Half: On the Token Efficiency of Visual Text Inputs in Multimodal LLMs
by: Li, Yanhong, et al.
Published: (2025)