Image de couverture de livre

Interpreting User Requests in the Context of Natural Language Standing Instructions

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Moghe, Nikita, Xia, Patrick, Andreas, Jacob, Eisner, Jason, Van Durme, Benjamin, Jhamtani, Harsh
Format:	Preprint
Publié:	2023
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

LM Agents for Coordinating Multi-User Information Gathering
par: Jhamtani, Harsh, et autres
Publié: (2025)

Sample-Efficient Online Learning in LM Agents via Hindsight Trajectory Rewriting
par: Hu, Michael Y., et autres
Publié: (2025)

Natural Language Decomposition and Interpretation of Complex Utterances
par: Jhamtani, Harsh, et autres
Publié: (2023)

Learning to Retrieve Iteratively for In-Context Learning
par: Chen, Yunmo, et autres
Publié: (2024)

Do Androids Know They're Only Dreaming of Electric Sheep?
par: CH-Wang, Sky, et autres
Publié: (2023)

LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error
par: Wang, Boshi, et autres
Publié: (2024)

MICE for CATs: Model-Internal Confidence Estimation for Calibrating Agents with Tools
par: Subramani, Nishant, et autres
Publié: (2025)

KV-Distill: Nearly Lossless Learnable Context Compression for LLMs
par: Chari, Vivek, et autres
Publié: (2025)

Decision-Oriented Dialogue for Human-AI Collaboration
par: Lin, Jessy, et autres
Publié: (2023)

RE-Adapt: Reverse Engineered Adaptation of Large Language Models
par: Fleshman, William, et autres
Publié: (2024)

LoRA-Augmented Generation (LAG) for Knowledge-Intensive Language Tasks
par: Fleshman, William, et autres
Publié: (2025)

Compactor: Calibrated Query-Agnostic KV Cache Compression with Approximate Leverage Scores
par: Chari, Vivek, et autres
Publié: (2025)

Many-Tier Instruction Hierarchy in LLM Agents
par: Zhang, Jingyu, et autres
Publié: (2026)

Language Models and Logic Programs for Trustworthy Tax Reasoning
par: Jurayj, William, et autres
Publié: (2025)

SEQR: Secure and Efficient QR-based LoRA Routing
par: Fleshman, William, et autres
Publié: (2025)

SpectR: Dynamically Composing LM Experts with Spectral Routing
par: Fleshman, William, et autres
Publié: (2025)

Bonsai: Interpretable Tree-Adaptive Grounded Reasoning
par: Sanders, Kate, et autres
Publié: (2025)

RE-AdaptIR: Improving Information Retrieval through Reverse Engineered Adaptation
par: Fleshman, William, et autres
Publié: (2024)

Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass
par: Chen, Tong, et autres
Publié: (2024)

Making Task-Oriented Dialogue Datasets More Natural by Synthetically Generating Indirect User Requests
par: Mannekote, Amogh, et autres
Publié: (2024)

Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic
par: Weir, Nathaniel, et autres
Publié: (2024)

"According to ...": Prompting Language Models Improves Quoting from Pre-Training Data
par: Weller, Orion, et autres
Publié: (2023)

LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts
par: Hashemi, Helia, et autres
Publié: (2024)

Crystal: Characterizing Relative Impact of Scholarly Publications
par: Collison, Hannah, et autres
Publié: (2026)

Reframing Tax Law Entailment as Analogical Reasoning
par: Zou, Xinrui, et autres
Publié: (2024)

Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements
par: Zhang, Jingyu, et autres
Publié: (2024)

Always Tell Me The Odds: Fine-grained Conditional Probability Estimation
par: Wang, Liaoyaqi, et autres
Publié: (2025)

AdapterSwap: Continuous Training of LLMs with Data Removal and Access-Control Guarantees
par: Fleshman, William, et autres
Publié: (2024)

Towards Robust Evaluation of Unlearning in LLMs via Data Transformations
par: Joshi, Abhinav, et autres
Publié: (2024)

BLT: Can Large Language Models Handle Basic Legal Text?
par: Blair-Stanek, Andrew, et autres
Publié: (2023)

Context-Aware Neural Gradient Mapping for Fine-Grained Instruction Processing
par: Boldo, David, et autres
Publié: (2025)

Natural Context Drift Undermines the Natural Language Understanding of Large Language Models
par: Wu, Yulong, et autres
Publié: (2025)

Deep Natural Language Feature Learning for Interpretable Prediction
par: Urrutia, Felipe, et autres
Publié: (2023)

System-Level Natural Language Feedback
par: Yuan, Weizhe, et autres
Publié: (2023)

OpenAI Cribbed Our Tax Example, But Can GPT-4 Really Do Tax?
par: Blair-Stanek, Andrew, et autres
Publié: (2023)

Toward In-Context Teaching: Adapting Examples to Students' Misconceptions
par: Ross, Alexis, et autres
Publié: (2024)

BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing
par: Tran, Hieu, et autres
Publié: (2023)

Short-Context Dominance: How Much Local Context Natural Language Actually Needs?
par: Vakilian, Vala, et autres
Publié: (2025)

Using Images to Find Context-Independent Word Representations in Vector Space
par: Kumar, Harsh
Publié: (2024)

SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses
par: Jiang, Dongwei, et autres
Publié: (2024)