:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Austin, David Eric, Korikov, Anton, Toroghi, Armin, Sanner, Scott
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Computation and Language
Online Access:	https://arxiv.org/abs/2405.00981
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ReBOL: Retrieval via Bayesian Optimization with Batched LLM Relevance Observations and Query Reformulation
by: Korikov, Anton, et al.
Published: (2026)

Retrieval-Augmented Conversational Recommendation with Prompt-based Semi-Structured Natural Language State Tracking
by: Kemper, Sara, et al.
Published: (2024)

Semantic XPath: Structured Agentic Memory Access for Conversational AI
by: Liu, Yifan Simon, et al.
Published: (2026)

CommonWhy: A Dataset for Evaluating Entity-Based Causal Commonsense Reasoning in Large Language Models
by: Toroghi, Armin, et al.
Published: (2026)

CoLoTa: A Dataset for Entity-based Commonsense Reasoning over Long-Tail Knowledge
by: Toroghi, Armin, et al.
Published: (2025)

CR-LT-KGQA: A Knowledge Graph Question Answering Dataset Requiring Commonsense Reasoning and Long-Tail Knowledge
by: Guo, Willis, et al.
Published: (2024)

Bayesian Optimization for Enhanced Language Models: Optimizing Acquisition Functions
by: Bao, Zishuo, et al.
Published: (2025)

Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering
by: Toroghi, Armin, et al.
Published: (2024)

Goal-Oriented Reasoning for RAG-based Memory in Conversational Agentic LLM Systems
by: Liang, Jiazhou, et al.
Published: (2026)

Multimodal Item Scoring for Natural Language Recommendation via Gaussian Process Regression with LLM Relevance Judgments
by: Liu, Yifan, et al.
Published: (2025)

Bayesian Active Learning with Gaussian Processes Guided by LLM Relevance Scoring for Dense Passage Retrieval
by: Kim, Junyoung, et al.
Published: (2026)

POPI: Personalizing LLMs via Optimized Natural Language Preference Inference
by: Chen, Yizhuo, et al.
Published: (2025)

Adaptive Elicitation of Latent Information Using Natural Language
by: Wang, Jimmy, et al.
Published: (2025)

LILO: Bayesian Optimization with Natural Language Feedback
by: Kobalczyk, Katarzyna, et al.
Published: (2025)

LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations
by: Xu, Yudong, et al.
Published: (2023)

Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments
by: Zhou, Han, et al.
Published: (2024)

Unsupervised Elicitation of Language Models
by: Wen, Jiaxin, et al.
Published: (2025)

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models
by: Wang, Zekun Moore, et al.
Published: (2023)

Preference Packing: Efficient Preference Optimization for Large Language Models
by: Cho, Jaekyung
Published: (2026)

Executable Code Actions Elicit Better LLM Agents
by: Wang, Xingyao, et al.
Published: (2024)

DEPO: Dual-Efficiency Preference Optimization for LLM Agents
by: Chen, Sirui, et al.
Published: (2025)

Subjective Behaviors and Preferences in LLM: Language of Browsing
by: Sundaresan, Sai, et al.
Published: (2025)

Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models
by: Bansal, Hritik, et al.
Published: (2023)

Multi-Modal Vision vs. Text-Based Parsing: Benchmarking LLM Strategies for Invoice Processing
by: Berghaus, David, et al.
Published: (2025)

Eliciting Personality Traits in Large Language Models
by: Hilliard, Airlie, et al.
Published: (2024)

Eliciting Reasoning in Language Models with Cognitive Tools
by: Ebouky, Brown, et al.
Published: (2025)

Generating Usage-related Questions for Preference Elicitation in Conversational Recommender Systems
by: Kostric, Ivica, et al.
Published: (2021)

Benchmarking Adversarial Robustness to Bias Elicitation in Large Language Models: Scalable Automated Assessment with LLM-as-a-Judge
by: Cantini, Riccardo, et al.
Published: (2025)

OptimAI: Optimization from Natural Language Using LLM-Powered AI Agents
by: Thind, Raghav, et al.
Published: (2025)

Language Models Benefit from Preparation with Elicited Knowledge
by: Yu, Jiacan, et al.
Published: (2024)

Self-supervised Preference Optimization: Enhance Your Language Model with Preference Degree Awareness
by: Li, Jian, et al.
Published: (2024)

Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction
by: Xu, Yudong W., et al.
Published: (2025)

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization
by: Bao, Qiming, et al.
Published: (2026)

Weights-Rotated Preference Optimization for Large Language Models
by: Yang, Chenxu, et al.
Published: (2025)

Elaborative Subtopic Query Reformulation for Broad and Indirect Queries in Travel Destination Recommendation
by: Wen, Qianfeng, et al.
Published: (2024)

Censored LLMs as a Natural Testbed for Secret Knowledge Elicitation
by: Casademunt, Helena, et al.
Published: (2026)

Beyond Elicitation: Provision-based Prompt Optimization for Knowledge-Intensive Tasks
by: Xu, Yunzhe, et al.
Published: (2025)

AcquisitionSynthesis: Targeted Data Generation using Acquisition Functions
by: Agarwal, Ishika, et al.
Published: (2026)

Direct Preference Optimization: Your Language Model is Secretly a Reward Model
by: Rafailov, Rafael, et al.
Published: (2023)

Eliciting Causal Abilities in Large Language Models for Reasoning Tasks
by: Wang, Yajing, et al.
Published: (2024)