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1991 directly classified papers

Papers per year

Papers

Examining Gender and Racial Bias in Large Vision–Language Models Using a Novel Dataset of Parallel Images EACL 2024
AnthroScore: A Computational Linguistic Measure of Anthropomorphism EACL 2024
GrounDial: Human-norm Grounded Safe Dialog Response Generation EACL 2024
In-Contextual Gender Bias Suppression for Large Language Models EACL 2024
Zero-Resource Hallucination Prevention for Large Language Models EMNLP 2024
UMUTeam at SemEval-2024 Task 6: Leveraging Zero-Shot Learning for Detecting Hallucinations and Related Observable Overgeneration Mistakes NAACL 2024
Consent in Crisis: The Rapid Decline of the AI Data Commons NIPS 2024
Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections NIPS 2024
PaCE: Parsimonious Concept Engineering for Large Language Models NIPS 2024
DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios NIPS 2024
The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models NIPS 2024
Large Language Model Unlearning NIPS 2024
Risk-Averse Fine-tuning of Large Language Models NIPS 2024
Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency NIPS 2024
Value Imprint: A Technique for Auditing the Human Values Embedded in RLHF Datasets NIPS 2024
Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment NIPS 2024
Calibrating Reasoning in Language Models with Internal Consistency NIPS 2024
FLAME : Factuality-Aware Alignment for Large Language Models NIPS 2024
A Synthetic Dataset for Personal Attribute Inference NIPS 2024
Accuracy is Not All You Need NIPS 2024
SafeWorld: Geo-Diverse Safety Alignment NIPS 2024
Thought of Search: Planning with Language Models Through The Lens of Efficiency NIPS 2024
Evaluating Copyright Takedown Methods for Language Models NIPS 2024
Benchmarking the Attribution Quality of Vision Models NIPS 2024
Private Attribute Inference from Images with Vision-Language Models NIPS 2024