Saved in:
| Main Authors: | Chen, Angelica, Phang, Jason, Parrish, Alicia, Padmakumar, Vishakh, Zhao, Chen, Bowman, Samuel R., Cho, Kyunghyun |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2305.14279 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Does Writing with Language Models Reduce Content Diversity?
by: Padmakumar, Vishakh, et al.
Published: (2023)
by: Padmakumar, Vishakh, et al.
Published: (2023)
Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries
by: Padmakumar, Vishakh, et al.
Published: (2025)
by: Padmakumar, Vishakh, et al.
Published: (2025)
Measuring LLM Novelty As The Frontier Of Original And High-Quality Output
by: Padmakumar, Vishakh, et al.
Published: (2025)
by: Padmakumar, Vishakh, et al.
Published: (2025)
Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers
by: Chakrabarty, Tuhin, et al.
Published: (2023)
by: Chakrabarty, Tuhin, et al.
Published: (2023)
Beyond the Binary: Capturing Diverse Preferences With Reward Regularization
by: Padmakumar, Vishakh, et al.
Published: (2024)
by: Padmakumar, Vishakh, et al.
Published: (2024)
No Single Best Model for Diversity: Learning a Router for Sample Diversity
by: Liu, Yuhan, et al.
Published: (2026)
by: Liu, Yuhan, et al.
Published: (2026)
Intent-Aware Schema Generation And Refinement For Literature Review Tables
by: Padmakumar, Vishakh, et al.
Published: (2025)
by: Padmakumar, Vishakh, et al.
Published: (2025)
Investigating the Effectiveness of HyperTuning via Gisting
by: Phang, Jason
Published: (2024)
by: Phang, Jason
Published: (2024)
Evaluating the Diversity and Quality of LLM Generated Content
by: Shypula, Alexander, et al.
Published: (2025)
by: Shypula, Alexander, et al.
Published: (2025)
Modifying Large Language Model Post-Training for Diverse Creative Writing
by: Chung, John Joon Young, et al.
Published: (2025)
by: Chung, John Joon Young, et al.
Published: (2025)
Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas
by: Balepur, Nishant, et al.
Published: (2025)
by: Balepur, Nishant, et al.
Published: (2025)
Improving Code Generation by Training with Natural Language Feedback
by: Chen, Angelica, et al.
Published: (2023)
by: Chen, Angelica, et al.
Published: (2023)
SparkMe: Adaptive Semi-Structured Interviewing for Qualitative Insight Discovery
by: Anugraha, David, et al.
Published: (2026)
by: Anugraha, David, et al.
Published: (2026)
Offloading Score: Measuring AI Reliance Through Counterfactual Workflows
by: Padmakumar, Vishakh, et al.
Published: (2026)
by: Padmakumar, Vishakh, et al.
Published: (2026)
System-Level Natural Language Feedback
by: Yuan, Weizhe, et al.
Published: (2023)
by: Yuan, Weizhe, et al.
Published: (2023)
Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs
by: Chen, Angelica, et al.
Published: (2023)
by: Chen, Angelica, et al.
Published: (2023)
Iterative Reasoning Preference Optimization
by: Pang, Richard Yuanzhe, et al.
Published: (2024)
by: Pang, Richard Yuanzhe, et al.
Published: (2024)
Bias-Augmented Consistency Training Reduces Biased Reasoning in Chain-of-Thought
by: Chua, James, et al.
Published: (2024)
by: Chua, James, et al.
Published: (2024)
Self-Evaluating LLMs for Multi-Step Tasks: Stepwise Confidence Estimation for Failure Detection
by: Mavi, Vaibhav, et al.
Published: (2025)
by: Mavi, Vaibhav, et al.
Published: (2025)
Self-Rewarding Language Models
by: Yuan, Weizhe, et al.
Published: (2024)
by: Yuan, Weizhe, et al.
Published: (2024)
Multi-modal Data Spectrum: Multi-modal Datasets are Multi-dimensional
by: Madaan, Divyam, et al.
Published: (2025)
by: Madaan, Divyam, et al.
Published: (2025)
Paradox of De-identification: A Critique of HIPAA Safe Harbour in the Age of LLMs
by: Jiang, Lavender Y., et al.
Published: (2026)
by: Jiang, Lavender Y., et al.
Published: (2026)
Leveraging Implicit Feedback from Deployment Data in Dialogue
by: Pang, Richard Yuanzhe, et al.
Published: (2023)
by: Pang, Richard Yuanzhe, et al.
Published: (2023)
Preference Learning Algorithms Do Not Learn Preference Rankings
by: Chen, Angelica, et al.
Published: (2024)
by: Chen, Angelica, et al.
Published: (2024)
Generalization Measures for Zero-Shot Cross-Lingual Transfer
by: Bassi, Saksham, et al.
Published: (2024)
by: Bassi, Saksham, et al.
Published: (2024)
MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning
by: Yang, Kang, et al.
Published: (2025)
by: Yang, Kang, et al.
Published: (2025)
MentalAgora: A Gateway to Advanced Personalized Care in Mental Health through Multi-Agent Debating and Attribute Control
by: Lee, Yeonji, et al.
Published: (2024)
by: Lee, Yeonji, et al.
Published: (2024)
Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning
by: Madaan, Divyam, et al.
Published: (2024)
by: Madaan, Divyam, et al.
Published: (2024)
Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning
by: Mishra, Venkatesh, et al.
Published: (2025)
by: Mishra, Venkatesh, et al.
Published: (2025)
NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions
by: Yuan, Weizhe, et al.
Published: (2025)
by: Yuan, Weizhe, et al.
Published: (2025)
Transformers Struggle to Learn to Search
by: Saparov, Abulhair, et al.
Published: (2024)
by: Saparov, Abulhair, et al.
Published: (2024)
Efficient semantic uncertainty quantification in language models via diversity-steered sampling
by: Park, Ji Won, et al.
Published: (2025)
by: Park, Ji Won, et al.
Published: (2025)
LingBench++: A Linguistically-Informed Benchmark and Reasoning Framework for Multi-Step and Cross-Cultural Inference with LLMs
by: Lian, Da-Chen, et al.
Published: (2025)
by: Lian, Da-Chen, et al.
Published: (2025)
Beyond Self-Consistency: Ensemble Reasoning Boosts Consistency and Accuracy of LLMs in Cancer Staging
by: Chang, Chia-Hsuan, et al.
Published: (2024)
by: Chang, Chia-Hsuan, et al.
Published: (2024)
Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs
by: Tan, Hexiang, et al.
Published: (2025)
by: Tan, Hexiang, et al.
Published: (2025)
Show Your Work with Confidence: Confidence Bands for Tuning Curves
by: Lourie, Nicholas, et al.
Published: (2023)
by: Lourie, Nicholas, et al.
Published: (2023)
Hyperparameter Loss Surfaces Are Simple Near their Optima
by: Lourie, Nicholas, et al.
Published: (2025)
by: Lourie, Nicholas, et al.
Published: (2025)
What Artificial Neural Networks Can Tell Us About Human Language Acquisition
by: Warstadt, Alex, et al.
Published: (2022)
by: Warstadt, Alex, et al.
Published: (2022)
Spontaneous Reward Hacking in Iterative Self-Refinement
by: Pan, Jane, et al.
Published: (2024)
by: Pan, Jane, et al.
Published: (2024)
Tracking the Limits of Knowledge Propagation: How LLMs Fail at Multi-Step Reasoning with Conflicting Knowledge
by: Feng, Yiyang, et al.
Published: (2026)
by: Feng, Yiyang, et al.
Published: (2026)
Similar Items
-
Does Writing with Language Models Reduce Content Diversity?
by: Padmakumar, Vishakh, et al.
Published: (2023) -
Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries
by: Padmakumar, Vishakh, et al.
Published: (2025) -
Measuring LLM Novelty As The Frontier Of Original And High-Quality Output
by: Padmakumar, Vishakh, et al.
Published: (2025) -
Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers
by: Chakrabarty, Tuhin, et al.
Published: (2023) -
Beyond the Binary: Capturing Diverse Preferences With Reward Regularization
by: Padmakumar, Vishakh, et al.
Published: (2024)