Cover Image

A Probability--Quality Trade-off in Aligned Language Models and its Relation to Sampling Adaptors

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tan, Naaman, Valvoda, Josef, Liu, Tianyu, Svete, Anej, Qin, Yanxia, Min-Yen, Kan, Cotterell, Ryan
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Transformers Can Represent $n$-gram Language Models
by: Svete, Anej, et al.
Published: (2024)

Training Neural Networks as Recognizers of Formal Languages
by: Butoi, Alexandra, et al.
Published: (2024)

What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages
by: Borenstein, Nadav, et al.
Published: (2024)

Towards Explainability in Legal Outcome Prediction Models
by: Valvoda, Josef, et al.
Published: (2024)

Formal Aspects of Language Modeling
by: Cotterell, Ryan, et al.
Published: (2023)

On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning
by: Nowak, Franz, et al.
Published: (2024)

On the Representational Capacity of Recurrent Neural Language Models
by: Nowak, Franz, et al.
Published: (2023)

On Efficiently Representing Regular Languages as RNNs
by: Svete, Anej, et al.
Published: (2024)

Gumbel Counterfactual Generation From Language Models
by: Ravfogel, Shauli, et al.
Published: (2024)

A Geometric Notion of Causal Probing
by: Guerner, Clément, et al.
Published: (2023)

Lower Bounds on the Expressivity of Recurrent Neural Language Models
by: Svete, Anej, et al.
Published: (2024)

Unique Hard Attention: A Tale of Two Sides
by: Jerad, Selim, et al.
Published: (2025)

Revisiting Padded Transformer Expressivity: Which Architectural Choices Matter and Which Don't
by: Svete, Anej, et al.
Published: (2026)

Can Transformers Learn $n$-gram Language Models?
by: Svete, Anej, et al.
Published: (2024)

Probability Distributions Computed by Autoregressive Transformers
by: Yang, Andy, et al.
Published: (2025)

Context-Free Recognition with Transformers
by: Jerad, Selim, et al.
Published: (2026)

An $\mathbf{L^*}$ Algorithm for Deterministic Weighted Regular Languages
by: Pasti, Clemente, et al.
Published: (2024)

On the Reasoning Abilities of Masked Diffusion Language Models
by: Svete, Anej, et al.
Published: (2025)

The Role of $n$-gram Smoothing in the Age of Neural Networks
by: Malagutti, Luca, et al.
Published: (2024)

Information Locality as an Inductive Bias for Neural Language Models
by: Someya, Taiga, et al.
Published: (2025)

ISQA: Informative Factuality Feedback for Scientific Summarization
by: Li, Zekai, et al.
Published: (2024)

On Affine Homotopy between Language Encoders
by: Chan, Robin SM, et al.
Published: (2024)

A Fast Algorithm for Computing Prefix Probabilities
by: Nowak, Franz, et al.
Published: (2023)

Efficiently Computing Susceptibility to Context in Language Models
by: Liu, Tianyu, et al.
Published: (2024)

Discursive Circuits: How Do Language Models Understand Discourse Relations?
by: Miao, Yisong, et al.
Published: (2025)

Characterizing the Expressivity of Fixed-Precision Transformer Language Models
by: Li, Jiaoda, et al.
Published: (2025)

CCSBench: Evaluating Compositional Controllability in LLMs for Scientific Document Summarization
by: Ding, Yixi, et al.
Published: (2024)

Structured Voronoi Sampling
by: Amini, Afra, et al.
Published: (2023)

Transducing Language Models
by: Snæbjarnarson, Vésteinn, et al.
Published: (2026)

Log-linear Guardedness and its Implications
by: Ravfogel, Shauli, et al.
Published: (2022)

Aligning Large Language Models with Human Opinions through Persona Selection and Value--Belief--Norm Reasoning
by: Long, Do Xuan, et al.
Published: (2023)

An Algebraic View of the Expressivity of Recurrent Language Models
by: Nowak, Franz, et al.
Published: (2026)

Locally Typical Sampling
by: Meister, Clara, et al.
Published: (2022)

Post-Training Language Models for Crosslingual Consistency
by: Liu, Tianyu, et al.
Published: (2026)

Characterizing the Expressivity of Local Attention in Transformers
by: Li, Jiaoda, et al.
Published: (2026)

Exact Hard Monotonic Attention for Character-Level Transduction
by: Wu, Shijie, et al.
Published: (2019)

Low-Resource Named Entity Recognition with Cross-Lingual, Character-Level Neural Conditional Random Fields
by: Cotterell, Ryan, et al.
Published: (2024)

Cross-lingual, Character-Level Neural Morphological Tagging
by: Cotterell, Ryan, et al.
Published: (2017)

A Distributional Perspective on Word Learning in Neural Language Models
by: Ficarra, Filippo, et al.
Published: (2025)

Linguistic Nepotism: Trading-off Quality for Language Preference in Multilingual RAG
by: Ki, Dayeon, et al.
Published: (2025)