Adaptive Elicitation of Latent Information Using Natural Language
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Jimmy, Zollo, Thomas, Zemel, Richard, Namkoong, Hongseok |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Whom to Query for What: Adaptive Group Elicitation via Multi-Turn LLM Interactions
by: Ding, Ruomeng, et al.
Published: (2026)
by: Ding, Ruomeng, et al.
Published: (2026)
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models
by: Zollo, Thomas P., et al.
Published: (2023)
by: Zollo, Thomas P., et al.
Published: (2023)
Test-Time Warmup for Multimodal Large Language Models
by: Rajaneesh, Nikita, et al.
Published: (2025)
by: Rajaneesh, Nikita, et al.
Published: (2025)
Eliciting Latent Knowledge from Quirky Language Models
by: Mallen, Alex, et al.
Published: (2023)
by: Mallen, Alex, et al.
Published: (2023)
Towards Effective Discrimination Testing for Generative AI
by: Zollo, Thomas P., et al.
Published: (2024)
by: Zollo, Thomas P., et al.
Published: (2024)
Report Cards: Qualitative Evaluation of Language Models Using Natural Language Summaries
by: Yang, Blair, et al.
Published: (2024)
by: Yang, Blair, et al.
Published: (2024)
Unsupervised Confidence Calibration for Reasoning LLMs from a Single Generation
by: Zollo, Thomas, et al.
Published: (2026)
by: Zollo, Thomas, et al.
Published: (2026)
On Eliciting Syntax from Language Models via Hashing
by: Wang, Yiran, et al.
Published: (2024)
by: Wang, Yiran, et al.
Published: (2024)
Censored LLMs as a Natural Testbed for Secret Knowledge Elicitation
by: Casademunt, Helena, et al.
Published: (2026)
by: Casademunt, Helena, et al.
Published: (2026)
Distilled Thompson Sampling: Practical and Efficient Thompson Sampling via Imitation Learning
by: Namkoong, Hongseok, et al.
Published: (2020)
by: Namkoong, Hongseok, et al.
Published: (2020)
SUPERNOVA: Eliciting General Reasoning in LLMs with Reinforcement Learning on Natural Instructions
by: Suvarna, Ashima, et al.
Published: (2026)
by: Suvarna, Ashima, et al.
Published: (2026)
Eliciting Language Model Behaviors with Investigator Agents
by: Li, Xiang Lisa, et al.
Published: (2025)
by: Li, Xiang Lisa, et al.
Published: (2025)
Reasoning Elicitation in Language Models via Counterfactual Feedback
by: Hüyük, Alihan, et al.
Published: (2024)
by: Hüyük, Alihan, et al.
Published: (2024)
Improving Predictor Reliability with Selective Recalibration
by: Zollo, Thomas P., et al.
Published: (2024)
by: Zollo, Thomas P., et al.
Published: (2024)
REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations
by: Liang, Buyun, et al.
Published: (2026)
by: Liang, Buyun, et al.
Published: (2026)
Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies
by: Ovalle, Anaelia, et al.
Published: (2023)
by: Ovalle, Anaelia, et al.
Published: (2023)
Self-Training Elicits Concise Reasoning in Large Language Models
by: Munkhbat, Tergel, et al.
Published: (2025)
by: Munkhbat, Tergel, et al.
Published: (2025)
Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models
by: Shang, Yu, et al.
Published: (2024)
by: Shang, Yu, et al.
Published: (2024)
Rethinking Distribution Shifts: Empirical Analysis and Inductive Modeling for Tabular Data
by: Wang, Tianyu, et al.
Published: (2023)
by: Wang, Tianyu, et al.
Published: (2023)
PersonalLLM: Tailoring LLMs to Individual Preferences
by: Zollo, Thomas P., et al.
Published: (2024)
by: Zollo, Thomas P., et al.
Published: (2024)
Causality Elicitation from Large Language Models
by: Kameyama, Takashi, et al.
Published: (2026)
by: Kameyama, Takashi, et al.
Published: (2026)
$T^2$ of Thoughts: Temperature Tree Elicits Reasoning in Large Language Models
by: Cai, Chengkun, et al.
Published: (2024)
by: Cai, Chengkun, et al.
Published: (2024)
Graph Elicitation for Guiding Multi-Step Reasoning in Large Language Models
by: Park, Jinyoung, et al.
Published: (2023)
by: Park, Jinyoung, et al.
Published: (2023)
Online Rubrics Elicitation from Pairwise Comparisons
by: Rezaei, MohammadHossein, et al.
Published: (2025)
by: Rezaei, MohammadHossein, et al.
Published: (2025)
Chain-of-Defensive-Thought: Structured Reasoning Elicits Robustness in Large Language Models against Reference Corruption
by: Wang, Wenxiao, et al.
Published: (2025)
by: Wang, Wenxiao, et al.
Published: (2025)
Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
by: Li, Kenneth, et al.
Published: (2023)
by: Li, Kenneth, et al.
Published: (2023)
Tell Me What To Learn: Generalizing Neural Memory to be Controllable in Natural Language
by: Bennett, Max S., et al.
Published: (2026)
by: Bennett, Max S., et al.
Published: (2026)
Reference-Free Rating of LLM Responses via Latent Information
by: Girrbach, Leander, et al.
Published: (2025)
by: Girrbach, Leander, et al.
Published: (2025)
Confidence Calibration in Vision-Language-Action Models
by: Zollo, Thomas P, et al.
Published: (2025)
by: Zollo, Thomas P, et al.
Published: (2025)
Natural Language Reinforcement Learning
by: Feng, Xidong, et al.
Published: (2024)
by: Feng, Xidong, et al.
Published: (2024)
Thinking in Latents: Adaptive Anchor Refinement for Implicit Reasoning in LLMs
by: Sheshanarayana, Disha, et al.
Published: (2026)
by: Sheshanarayana, Disha, et al.
Published: (2026)
Verbal Process Supervision Elicits Better Coding Agents
by: Chen, Hao-Yuan, et al.
Published: (2025)
by: Chen, Hao-Yuan, et al.
Published: (2025)
Weak-to-Strong Elicitation via Mismatched Wrong Drafts
by: Deng, Wei
Published: (2026)
by: Deng, Wei
Published: (2026)
LatentBreak: Jailbreaking Large Language Models through Latent Space Feedback
by: Mura, Raffaele, et al.
Published: (2025)
by: Mura, Raffaele, et al.
Published: (2025)
Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments
by: Zhou, Han, et al.
Published: (2024)
by: Zhou, Han, et al.
Published: (2024)
Natural Language Reinforcement Learning
by: Feng, Xidong, et al.
Published: (2024)
by: Feng, Xidong, et al.
Published: (2024)
From Literal to Liberal: A Meta-Prompting Framework for Eliciting Human-Aligned Exception Handling in Large Language Models
by: Khan, Imran
Published: (2025)
by: Khan, Imran
Published: (2025)
Large Language Models Explore by Latent Distilling
by: Zeng, Yuanhao, et al.
Published: (2026)
by: Zeng, Yuanhao, et al.
Published: (2026)
On Subjective Uncertainty Quantification and Calibration in Natural Language Generation
by: Wang, Ziyu, et al.
Published: (2024)
by: Wang, Ziyu, et al.
Published: (2024)
Do LLMs Recognize Your Latent Preferences? A Benchmark for Latent Information Discovery in Personalized Interaction
by: Tsaknakis, Ioannis, et al.
Published: (2025)
by: Tsaknakis, Ioannis, et al.
Published: (2025)
Similar Items
-
Whom to Query for What: Adaptive Group Elicitation via Multi-Turn LLM Interactions
by: Ding, Ruomeng, et al.
Published: (2026) -
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models
by: Zollo, Thomas P., et al.
Published: (2023) -
Test-Time Warmup for Multimodal Large Language Models
by: Rajaneesh, Nikita, et al.
Published: (2025) -
Eliciting Latent Knowledge from Quirky Language Models
by: Mallen, Alex, et al.
Published: (2023) -
Towards Effective Discrimination Testing for Generative AI
by: Zollo, Thomas P., et al.
Published: (2024)