:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Mohanty, Suvendu
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2503.06054
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

To Bias or Not to Bias: Detecting bias in News with bias-detector
by: Ghosh, Himel, et al.
Published: (2025)

Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning
by: Pang, Jinlong, et al.
Published: (2025)

Learning to Verify Summary Facts with Fine-Grained LLM Feedback
by: Oh, Jihwan, et al.
Published: (2024)

Detecting Prefix Bias in LLM-based Reward Models
by: Kumar, Ashwin, et al.
Published: (2025)

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection
by: Suresh, Malavika, et al.
Published: (2025)

Mind the Generation Process: Fine-Grained Confidence Estimation During LLM Generation
by: Han, Jinyi, et al.
Published: (2025)

On the Relationship between Truth and Political Bias in Language Models
by: Fulay, Suyash, et al.
Published: (2024)

BiasScope: Towards Automated Detection of Bias in LLM-as-a-Judge Evaluation
by: Lai, Peng, et al.
Published: (2026)

Fine-Grained Detection of AI-Generated Text Using Sentence-Level Segmentation
by: Teja, Lekkala Sai, et al.
Published: (2025)

CFMS: Towards Explainable and Fine-Grained Chinese Multimodal Sarcasm Detection Benchmark
by: Zhang, Junzhao, et al.
Published: (2026)

Beyond Binary Classification: Detecting Fine-Grained Sexism in Social Media Videos
by: De Grazia, Laura, et al.
Published: (2026)

Robust and Fine-Grained Detection of AI Generated Texts
by: Kadiyala, Ram Mohan Rao, et al.
Published: (2025)

FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection
by: Zhou, Ziyi, et al.
Published: (2024)

Decoding Biases: Automated Methods and LLM Judges for Gender Bias Detection in Language Models
by: Kumar, Shachi H, et al.
Published: (2024)

Spot the BlindSpots: Systematic Identification and Quantification of Fine-Grained LLM Biases in Contact Center Summaries
by: Mayilvaghanan, Kawin, et al.
Published: (2025)

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition
by: Luo, Hanjun, et al.
Published: (2024)

Towards detecting unanticipated bias in Large Language Models
by: Kruspe, Anna
Published: (2024)

Enhancing and Assessing Instruction-Following with Fine-Grained Instruction Variants
by: Yang, Jiuding, et al.
Published: (2024)

Pi-SQL: Enhancing Text-to-SQL with Fine-Grained Guidance from Pivot Programming Languages
by: chi, Yongdong, et al.
Published: (2025)

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward
by: Deng, Yong, et al.
Published: (2025)

EmoNet-Voice: A Fine-Grained, Expert-Verified Benchmark for Speech Emotion Detection
by: Schuhmann, Christoph, et al.
Published: (2025)

ReXTrust: A Model for Fine-Grained Hallucination Detection in AI-Generated Radiology Reports
by: Hardy, Romain, et al.
Published: (2024)

Assessing Bias in Metric Models for LLM Open-Ended Generation Bias Benchmarks
by: Demchak, Nathaniel, et al.
Published: (2024)

Causal Prosody Mediation for Text-to-Speech:Counterfactual Training of Duration, Pitch, and Energy in FastSpeech2
by: Mohanty, Suvendu Sekhar
Published: (2026)

UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation
by: Zhou, Hanzhang, et al.
Published: (2024)

Gender Bias in LLM-generated Interview Responses
by: Kong, Haein, et al.
Published: (2024)

Ask LLMs Directly, "What shapes your bias?": Measuring Social Bias in Large Language Models
by: Shin, Jisu, et al.
Published: (2024)

No LLM is Free From Bias: A Comprehensive Study of Bias Evaluation in Large Language Models
by: Kumar, Charaka Vinayak, et al.
Published: (2025)

Does Reasoning Introduce Bias? A Study of Social Bias Evaluation and Mitigation in LLM Reasoning
by: Wu, Xuyang, et al.
Published: (2025)

Attention with Dependency Parsing Augmentation for Fine-Grained Attribution
by: Ding, Qiang, et al.
Published: (2024)

Fine-Grained Self-Endorsement Improves Factuality and Reasoning
by: Wang, Ante, et al.
Published: (2024)

Can We Trust a Black-box LLM? LLM Untrustworthy Boundary Detection via Bias-Diffusion and Multi-Agent Reinforcement Learning
by: Zhou, Xiaotian, et al.
Published: (2026)

DeFine: A Decomposed and Fine-Grained Annotated Dataset for Long-form Article Generation
by: Wang, Ming, et al.
Published: (2025)

FineMath: A Fine-Grained Mathematical Evaluation Benchmark for Chinese Large Language Models
by: Liu, Yan, et al.
Published: (2024)

HACo-Det: A Study Towards Fine-Grained Machine-Generated Text Detection under Human-AI Coauthoring
by: Su, Zhixiong, et al.
Published: (2025)

HausaNLP at SemEval-2025 Task 3: Towards a Fine-Grained Model-Aware Hallucination Detection
by: Bala, Maryam, et al.
Published: (2025)

Mitigating LLM biases toward spurious social contexts using direct preference optimization
by: Nam, Hyunji, et al.
Published: (2026)

Exploring LLM biases to manipulate AI search overview
by: Smirnov, Roman
Published: (2026)

DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer's Disease
by: Mo, Tingyu, et al.
Published: (2025)

Reliable Fine-Grained Evaluation of Natural Language Math Proofs
by: Ma, Wenjie, et al.
Published: (2025)