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Estevam Hruschka

ACL 2026×2ICLR 2026评测与基准推理多模态对齐与偏好检索与知识
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0 一作 · 3 篇 · ACL 2026 / ICLR 2026

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2026 顶会论文

3
作者位次 #3/3ACL 2026Poster· Natural Language Processing

From Proof to Program: Characterizing Tool-Induced Reasoning Hallucinations in Large Language Models

Farima Fatahi Bayat · Pouya Pezeshkpour · Estevam Hruschka

摘要

Tool-augmented Language Models (TaLMs) can invoke external tools to solve problems beyond their parametric capacity. However, it remains unclear whether these tool-enabled gains reflect trustworthy reasoning. Focusing on the Code Interpreter tool, we show that even when tools are selected and exe...

推理对齐与偏好评测与基准OpenReview 项目页
作者位次 #3/3ACL 2026Workshop· ACL System Demonstrations

A Dynamic Self-Evolving Extraction System

Moin Aminnaseri · Hannah Kim · Estevam Hruschka

摘要

The extraction of structured information from raw text is a fundamental component of many NLP applications, including document retrieval, ranking, and relevance estimation. High-quality extractions often require domain-specific accuracy, up-to-date understanding of specialized taxonomies, and the...

检索与知识社会与人本推理OpenReview 项目页

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