:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Lymperopoulos, Panagiotis, Sarathy, Vasanth
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Computation and Language
Acceso en línea:	https://arxiv.org/abs/2505.16113
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Breaking the Benchmark: Revealing LLM Bias via Minimal Contextual Augmentation
por: Miandoab, Kaveh Eskandari, et al.
Publicado: (2025)

LoopTool: Closing the Data-Training Loop for Robust LLM Tool Calls
por: Zhang, Kangning, et al.
Publicado: (2025)

Quantifying Uncertainty in Natural Language Explanations of Large Language Models for Question Answering
por: Li, Yangyi, et al.
Publicado: (2025)

Where Norms and References Collide: Evaluating LLMs on Normative Reasoning
por: Abrams, Mitchell, et al.
Publicado: (2026)

Uncertainty as Feature Gaps: Epistemic Uncertainty Quantification of LLMs in Contextual Question-Answering
por: Bakman, Yavuz, et al.
Publicado: (2025)

ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities
por: Lu, Jiarui, et al.
Publicado: (2024)

Interpretable LLM-based Table Question Answering
por: Nguyen, Giang, et al.
Publicado: (2024)

"Let's Argue Both Sides": Argument Generation Can Force Small Models to Utilize Previously Inaccessible Reasoning Capabilities
por: Miandoab, Kaveh Eskandari, et al.
Publicado: (2024)

Knowing When to Ask: Segment-Level Credit Assignment for LLM Tool Use
por: Kumar, Abhijit, et al.
Publicado: (2026)

Enhancing LLM Tool Use with High-quality Instruction Data from Knowledge Graph
por: Wang, Jingwei, et al.
Publicado: (2025)

Benchmarking Uncertainty Calibration in Large Language Model Long-Form Question Answering
por: Müller, Philip, et al.
Publicado: (2026)

ToolMATH: A Diagnostic Benchmark for Long-Horizon Tool Use under Systematic Tool-Catalog Constraints
por: Choi, Hyeonje, et al.
Publicado: (2026)

Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering
por: Schimanski, Tobias, et al.
Publicado: (2024)

iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use
por: Zeng, Yirong, et al.
Publicado: (2025)

Conveyor: Efficient Tool-aware LLM Serving with Tool Partial Execution
por: Xu, Yechen, et al.
Publicado: (2024)

Who's Asking? Evaluating LLM Robustness to Inquiry Personas in Factual Question Answering
por: Akpinar, Nil-Jana, et al.
Publicado: (2025)

In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
por: Li, Zhuofeng, et al.
Publicado: (2025)

TopoCurate:Modeling Interaction Topology for Tool-Use Agent Training
por: Yang, Jinluan, et al.
Publicado: (2026)

Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning
por: Dong, Guanting, et al.
Publicado: (2025)

Structured RAG for Answering Aggregative Questions
por: Koshorek, Omri, et al.
Publicado: (2025)

On Mechanistic Circuits for Extractive Question-Answering
por: Basu, Samyadeep, et al.
Publicado: (2025)

ESQA: Event Sequences Question Answering
por: Abdullaeva, Irina, et al.
Publicado: (2024)

On the Calibration of Multilingual Question Answering LLMs
por: Yang, Yahan, et al.
Publicado: (2023)

Large Language Models Know What To Say But Not When To Speak
por: Umair, Muhammad, et al.
Publicado: (2024)

COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees
por: Wang, Zhiyuan, et al.
Publicado: (2025)

Question Rephrasing for Quantifying Uncertainty in Large Language Models: Applications in Molecular Chemistry Tasks
por: Chen, Zizhang, et al.
Publicado: (2024)

Graph Pruning for Enumeration of Minimal Unsatisfiable Subsets
por: Lymperopoulos, Panagiotis, et al.
Publicado: (2024)

AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning
por: Zou, Jiaru, et al.
Publicado: (2025)

Explainable Fact-checking through Question Answering
por: Yang, Jing, et al.
Publicado: (2021)

NeMo-Inspector: A Visualization Tool for LLM Generation Analysis
por: Gitman, Daria, et al.
Publicado: (2025)

PLAY2PROMPT: Zero-shot Tool Instruction Optimization for LLM Agents via Tool Play
por: Fang, Wei, et al.
Publicado: (2025)

Tool Unlearning for Tool-Augmented LLMs
por: Cheng, Jiali, et al.
Publicado: (2025)

Towards Unsupervised Question Answering System with Multi-level Summarization for Legal Text
por: Prabhu, M Manvith, et al.
Publicado: (2024)

LinkQ: An LLM-Assisted Visual Interface for Knowledge Graph Question-Answering
por: Li, Harry, et al.
Publicado: (2024)

Every Response Counts: Quantifying Uncertainty of LLM-based Multi-Agent Systems through Tensor Decomposition
por: Chen, Tiejin, et al.
Publicado: (2026)

ToolACE: Winning the Points of LLM Function Calling
por: Liu, Weiwen, et al.
Publicado: (2024)

ToolExpander: Extending the Frontiers of Tool-Using Reinforcement Learning to Weak LLMs
por: Chen, Fu, et al.
Publicado: (2025)

OWLViz: An Open-World Benchmark for Visual Question Answering
por: Nguyen, Thuy, et al.
Publicado: (2025)

FoQA: A Faroese Question-Answering Dataset
por: Simonsen, Annika, et al.
Publicado: (2025)

Calibrated Large Language Models for Binary Question Answering
por: Giovannotti, Patrizio, et al.
Publicado: (2024)