Cover Image

DiscoTrace: Representing and Comparing Answering Strategies of Humans and LLMs in Information-Seeking Question Answering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Srikanth, Neha, Boyd-Graber, Jordan, Rudinger, Rachel
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question Answering
by: Srikanth, Neha, et al.
Published: (2023)

Reverse Question Answering: Can an LLM Write a Question so Hard (or Bad) that it Can't Answer?
by: Balepur, Nishant, et al.
Published: (2024)

Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above
by: Balepur, Nishant, et al.
Published: (2025)

NLI under the Microscope: What Atomic Hypothesis Decomposition Reveals
by: Srikanth, Neha, et al.
Published: (2025)

Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA
by: Gor, Maharshi, et al.
Published: (2024)

CFMatch: Aligning Automated Answer Equivalence Evaluation with Expert Judgments For Open-Domain Question Answering
by: Li, Zongxia, et al.
Published: (2024)

How often are errors in natural language reasoning due to paraphrastic variability?
by: Srikanth, Neha, et al.
Published: (2024)

AI, Take the Wheel: What Drives Delegation and Trust in Human-Computer Cooperative Question Answering?
by: Gor, Maharshi, et al.
Published: (2026)

Multi-Document Financial Question Answering using LLMs
by: Shah, Shalin, et al.
Published: (2024)

Discrepancy Detection at the Data Level: Toward Consistent Multilingual Question Answering
by: Calvo-Bartolomé, Lorena, et al.
Published: (2025)

Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?
by: Balepur, Nishant, et al.
Published: (2024)

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas
by: Balepur, Nishant, et al.
Published: (2025)

Seek and Solve Reasoning for Table Question Answering
by: Jiang, Ruya, et al.
Published: (2024)

Coal Mining Question Answering with LLMs
by: Rivera, Antonio Carlos, et al.
Published: (2024)

How the Advent of Ubiquitous Large Language Models both Stymie and Turbocharge Dynamic Adversarial Question Generation
by: Sung, Yoo Yeon, et al.
Published: (2024)

Understanding Common Ground Misalignment in Goal-Oriented Dialog: A Case-Study with Ubuntu Chat Logs
by: Sarkar, Rupak, et al.
Published: (2025)

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

Accurate Table Question Answering with Accessible LLMs
by: Jiang, Yangfan, et al.
Published: (2026)

A Comprehensive Graph Framework for Question Answering with Mode-Seeking Preference Alignment
by: Tang, Quanwei, et al.
Published: (2025)

Argument-Based Comparative Question Answering Evaluation Benchmark
by: Nikishina, Irina, et al.
Published: (2025)

Agentic LLMs for Question Answering over Tabular Data
by: Tyagi, Rishit, et al.
Published: (2025)

Evaluating Fine-Tuning Efficiency of Human-Inspired Learning Strategies in Medical Question Answering
by: Yang, Yushi, et al.
Published: (2024)

A Good Plan is Hard to Find: Aligning Models with Preferences is Misaligned with What Helps Users
by: Balepur, Nishant, et al.
Published: (2025)

ReTraceQA: Evaluating Reasoning Traces of Small Language Models in Commonsense Question Answering
by: Molfese, Francesco Maria, et al.
Published: (2025)

Combining LLMs and Knowledge Graphs to Reduce Hallucinations in Question Answering
by: Pusch, Larissa, et al.
Published: (2024)

Evaluating LLMs' Mathematical Reasoning in Financial Document Question Answering
by: Srivastava, Pragya, et al.
Published: (2024)

How Accurate Are LLMs at Multi-Question Answering on Conversational Transcripts?
by: Zhu, Xiliang, et al.
Published: (2025)

What Factors Affect LLMs and RLLMs in Financial Question Answering?
by: Wang, Peng, et al.
Published: (2025)

Open Domain Question Answering with Conflicting Contexts
by: Liu, Siyi, et al.
Published: (2024)

Automatic Evaluation of Healthcare LLMs Beyond Question-Answering
by: Arias-Duart, Anna, et al.
Published: (2025)

QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs
by: Kim, Minsang, et al.
Published: (2024)

TyDi QA-WANA: A Benchmark for Information-Seeking Question Answering in Languages of West Asia and North Africa
by: Riley, Parker, et al.
Published: (2025)

Question Answering with LLMs and Learning from Answer Sets
by: Borroto, Manuel, et al.
Published: (2025)

Inferential Question Answering
by: Mozafari, Jamshid, et al.
Published: (2026)

Disambiguation in Conversational Question Answering in the Era of LLMs and Agents: A Survey
by: Tanjim, Md Mehrab, et al.
Published: (2025)

Evaluating Robustness of LLMs in Question Answering on Multilingual Noisy OCR Data
by: Piryani, Bhawna, et al.
Published: (2025)

Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question Answering
by: Yu, Zeping, et al.
Published: (2024)

DCR: Divide-and-Conquer Reasoning for Multi-choice Question Answering with LLMs
by: Meng, Zijie, et al.
Published: (2024)

Do LLMs and Humans Find the Same Questions Difficult? A Case Study on Japanese Quiz Answering
by: Sugiura, Naoya, et al.
Published: (2025)

None of the Above, Less of the Right: Parallel Patterns between Humans and LLMs on Multi-Choice Questions Answering
by: Tam, Zhi Rui, et al.
Published: (2025)