Showing 1–14 of 14 results
/ Date/ Name
Jan 21, 2022Can Model Compression Improve NLP FairnessOct 22, 2022EnDex: Evaluation of Dialogue Engagingness at ScaleNov 4, 2024Dr. SoW: Density Ratio of Strong-over-weak LLMs for Reducing the Cost of Human Annotation in Preference TuningAug 17, 2022NECE: Narrative Event Chain Extraction ToolkitDec 5, 2020Enhanced Offensive Language Detection Through Data AugmentationOct 7, 2025Mitigating Premature Exploitation in Particle-based Monte Carlo for Inference-Time ScalingMay 26, 2023Are Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children's Fairy TalesFeb 4, 2024BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedbackDec 5, 2020Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional GenerationApr 30, 2021Mitigating Political Bias in Language Models Through Reinforced CalibrationOct 16, 2021On the Safety of Conversational Models: Taxonomy, Dataset, and BenchmarkApr 18, 2022Non-Parallel Text Style Transfer with Self-Parallel SupervisionDec 17, 2024Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMsFeb 3, 2025Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods