Imagen de Portada

Asking a Language Model for Diverse Responses

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Troshin, Sergey, Saparina, Irina, Fokkens, Antske, Niculae, Vlad
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

On the Low-Rank Parametrization of Reward Models for Controlled Language Generation
por: Troshin, Sergey, et al.
Publicado: (2024)

Control the Temperature: Selective Sampling for Diverse and High-Quality LLM Outputs
por: Troshin, Sergey, et al.
Publicado: (2025)

Angular Dispersion Accelerates $k$-Nearest Neighbors Machine Translation
por: Tokarchuk, Evgeniia, et al.
Publicado: (2025)

Representation Collapse in Machine Translation Through the Lens of Angular Dispersion
por: Tokarchuk, Evgeniia, et al.
Publicado: (2026)

DefVerify: Do Hate Speech Models Reflect Their Dataset's Definition?
por: Khurana, Urja, et al.
Publicado: (2024)

Investigating the Robustness of Modelling Decisions for Few-Shot Cross-Topic Stance Detection: A Preregistered Study
por: Reuver, Myrthe, et al.
Publicado: (2024)

Balancing the Scales: Reinforcement Learning for Fair Classification
por: Eshuijs, Leon, et al.
Publicado: (2024)

Learning from Sufficient Rationales: Analysing the Relationship Between Explanation Faithfulness and Token-level Regularisation Strategies
por: Kamp, Jonathan, et al.
Publicado: (2025)

Improving Causal Interventions in Amnesic Probing with Mean Projection or LEACE
por: Dobrzeniecka, Alicja, et al.
Publicado: (2025)

Short-circuiting Shortcuts: Mechanistic Investigation of Shortcuts in Text Classification
por: Eshuijs, Leon, et al.
Publicado: (2025)

The Role of Syntactic Span Preferences in Post-Hoc Explanation Disagreement
por: Kamp, Jonathan, et al.
Publicado: (2024)

Improving Generalization in Semantic Parsing by Increasing Natural Language Variation
por: Saparina, Irina, et al.
Publicado: (2024)

Crowd-Calibrator: Can Annotator Disagreement Inform Calibration in Subjective Tasks?
por: Khurana, Urja, et al.
Publicado: (2024)

AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queries
por: Saparina, Irina, et al.
Publicado: (2024)

Context-Aware or Context-Insensitive? Assessing LLMs' Performance in Document-Level Translation
por: Mohammed, Wafaa, et al.
Publicado: (2024)

On Measuring Context Utilization in Document-Level MT Systems
por: Mohammed, Wafaa, et al.
Publicado: (2024)

Reasoning about Intent for Ambiguous Requests
por: Saparina, Irina, et al.
Publicado: (2025)

Disambiguate First, Parse Later: Generating Interpretations for Ambiguity Resolution in Semantic Parsing
por: Saparina, Irina, et al.
Publicado: (2025)

The Unreasonable Effectiveness of Random Target Embeddings for Continuous-Output Neural Machine Translation
por: Tokarchuk, Evgeniia, et al.
Publicado: (2023)

Your Multimodal Speech Model Says I Have a Face for Radio
por: Nachesa, Maya K., et al.
Publicado: (2026)

Unlocking Latent Discourse Translation in LLMs Through Quality-Aware Decoding
por: Mohammed, Wafaa, et al.
Publicado: (2025)

kNN For Whisper And Its Effect On Bias And Speaker Adaptation
por: Nachesa, Maya K., et al.
Publicado: (2024)

Not All Subjectivity Is the Same! Defining Desiderata for the Evaluation of Subjectivity in NLP
por: Khurana, Urja, et al.
Publicado: (2026)

Long-Context Reasoning Through Proxy-Based Chain-of-Thought Tuning
por: Li, Miao, et al.
Publicado: (2026)

Positioning Political Texts with Large Language Models by Asking and Averaging
por: Mens, Gaël Le, et al.
Publicado: (2023)

Safety Training Modulates Harmful Misalignment Under On-Policy RL, But Direction Depends on Environment Design
por: Eshuijs, Leon, et al.
Publicado: (2026)

A Retrieval-Based Approach to Medical Procedure Matching in Romanian
por: Niculae, Andrei, et al.
Publicado: (2025)

AdaSplash-2: Faster Differentiable Sparse Attention
por: Gonçalves, Nuno, et al.
Publicado: (2026)

STYLE: Improving Domain Transferability of Asking Clarification Questions in Large Language Model Powered Conversational Agents
por: Chen, Yue, et al.
Publicado: (2024)

Asking the Right Questions: Benchmarking Large Language Models in the Development of Clinical Consultation Templates
por: McCoy, Liam G., et al.
Publicado: (2025)

Improving Romanian LLM Pretraining Data using Diversity and Quality Filtering
por: Negoita, Vlad, et al.
Publicado: (2025)

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once
por: Pan, Zhuoshi, et al.
Publicado: (2025)

The Art of Asking: Multilingual Prompt Optimization for Synthetic Data
por: Mora, David, et al.
Publicado: (2025)

Asking and Answering Questions to Extract Event-Argument Structures
por: Uddin, Md Nayem, et al.
Publicado: (2024)

Dr.Copilot: A Multi-Agent Prompt Optimized Assistant for Improving Patient-Doctor Communication in Romanian
por: Niculae, Andrei, et al.
Publicado: (2025)

Reasoning While Asking: Transforming Reasoning Large Language Models from Passive Solvers to Proactive Inquirers
por: Chen, Xin, et al.
Publicado: (2026)

Diverse, not Short: A Length-Controlled Data Selection Strategy for Improving Response Diversity of Language Models
por: Deshpande, Vijeta, et al.
Publicado: (2025)

Asking Again and Again: Exploring LLM Robustness to Repeated Questions
por: Shaier, Sagi, et al.
Publicado: (2024)

MAQuA: Adaptive Question-Asking for Multidimensional Mental Health Screening using Item Response Theory
por: Varadarajan, Vasudha, et al.
Publicado: (2025)

Loose LIPS Sink Ships: Asking Questions in Battleship with Language-Informed Program Sampling
por: Grand, Gabriel, et al.
Publicado: (2024)