Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration | Paper Citation Record

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Proceedings of the International Conference on Learning Representations (ICLR) , year=

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Proceedings of the Conference on Health, Inference, and Learning (CHIL) , year=

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) , year=

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Advances in Neural Information Processing Systems , volume=

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration International Conference on Artificial Intelligence and Statistics , pages=

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This paper cites See https://vicuna.

Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration See https://vicuna

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Llama 2: Open Foundation and Fine-Tuned Chat Models

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Mistral 7B

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Gemma 2: Improving Open Language Models at a Practical Size

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration 2 OLMo 2 Furious

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Tulu 3: Pushing Frontiers in Open Language Model Post-Training

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration International conference on machine learning , pages=

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Regularizing Neural Networks by Penalizing Confident Output Distributions

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Advances in Neural Information Processing Systems , volume=

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Advances in neural information processing systems , volume=

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Advances in neural information processing systems , volume=

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Crafting Papers on Machine Learning , year =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration I , year =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Newell and P

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration On divergences and informations in statistics and information theory , volume =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration doi:10.57967/hf/0181 , publisher =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Simple statistical gradient-following algorithms for connectionist reinforcement learning , volume =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration f -divergences , url =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Convex analysis , volume =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration PyTorch: An Imperative Style, High-Performance Deep Learning Library , url =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Convex optimization , year =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Convex analysis and minimization algorithms I: Fundamentals , volume =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Information theory and statistics: A tutorial , volume =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Entity-level Factual Consistency of Abstractive Text Summarization , url =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration A Distributional Approach to Controlled Text Generation , url =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration f -divergence Inequalities , volume =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Neural Text Generation from Structured Data with Application to the Biography Domain , url =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Controlling Conditional Language Models without Catastrophic Forgetting , url =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration On f-divergences: Integral representations, local behavior, and inequalities , volume =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration and Della Pietra, Stephen A

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Abstractive Text Summarization using Sequence-to-sequence

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Variational Inference with Tail-adaptive f-Divergence , url =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Transformers: State-of-the-Art Natural Language Processing , url =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Kingma and Jimmy Ba , bibsource =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Hierarchical Neural Story Generation , url =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Courville and Yoshua Bengio , bibsource =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Reinforced Video Captioning with Entailment Rewards , url =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Martin and Animesh Mehta and Brent Harrison and Mark O

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Deep Reinforcement Learning for Dialogue Generation , url =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration The 22nd international conference on artificial intelligence and statistics , pages=

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining , pages=

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Exploring the limits of transfer learning with a unified text-to-text transformer

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Probabilistic model for code with decision trees , volume =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration The Woman Worked as a Babysitter: On Biases in Language Generation , url =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting , url =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration and Daly, Raymond E

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration A Diversity-Promoting Objective Function for Neural Conversation Models , url =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Texygen:

Reference 62

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Language models are unsupervised multitask learners , volume =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Fine-tuning language models from human preferences , url =

Reference 64

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration A tutorial on energy-based learning , volume =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Infinite-horizon policy-gradient estimation , volume =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Training products of experts by minimizing contrastive divergence , volume =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Global Autoregressive Models for Data-Efficient Sequence Learning , url =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Distributional reinforcement learning for energy-based sequential models , url =

Reference 69

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Playing Atari with Deep Reinforcement Learning

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Jordan and Pieter Abbeel , bibsource =

Reference 71

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Proximal policy optimization algorithms , url =

Reference 72

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Tuning recurrent neural networks with re-inforcement learning , url =

Reference 73

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration COLD decoding: Energy-based constrained text generation with langevin dynamics , url =

Reference 74

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration An Explanation of In-context Learning as Implicit Bayesian Inference , url =

Reference 75

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Unresolved cited work

Reference 76

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration RL with KL penalties is better viewed as Bayesian inference

Reference 77

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback , url =

Reference 78

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration and Lowe, Ryan and Voss, Chelsea and Radford, Alec and Amodei, Dario and Christiano, Paul , booktitle =

Reference 79

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Advances in neural information processing systems , volume=

Reference 80

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Teaching language models to support answers with verified quotes , url =

Reference 81

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Improving alignment of dialogue agents via targeted human judgements

Reference 82

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Language model cascades , url =

Reference 83

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration ArXiv preprint , title =

Reference 84

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Mescheder and Andreas Geiger and Sebastian Nowozin , bibsource =

Reference 85

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Generative Adversarial Networks , url =

Reference 86

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Mode Regularized Generative Adversarial Networks , url =

Reference 87

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization , url =

Reference 88

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Wasserstein Generative Adversarial Networks , url =

Reference 89

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary? , url =

Reference 90

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Unresolved cited work

Reference 91

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Scaling instruction-finetuned language models , url =

Reference 92

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Self-critiquing models for assisting human evaluators , url =

Reference 93

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets , url =

Reference 94

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Unresolved cited work

Reference 95

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Challenges in Detoxifying Language Models , url =

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration ArXiv preprint , title =

Reference 97

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration ArXiv preprint , title =

Reference 98

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Owen , booktitle =

Reference 99

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Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Recipes for Building an Open-Domain Chatbot , url =

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