Cover Image

Option-ID Based Elimination For Multiple Choice Questions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Zhenhao, Liu, Bulou, Ai, Qingyao, Liu, Yiqun
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Relative-Based Scaling Law for Neural Language Models
by: Yue, Baoqing, et al.
Published: (2025)

What Scales in Cross-Entropy Scaling Law?
by: Yan, Junxi, et al.
Published: (2025)

Generating Plausible Distractors for Multiple-Choice Questions via Student Choice Prediction
by: Lee, Yooseop, et al.
Published: (2025)

Biomedical Entity Linking as Multiple Choice Question Answering
by: Lin, Zhenxi, et al.
Published: (2024)

Beyond Scalar Reward Model: Learning Generative Judge from Preference Data
by: Ye, Ziyi, et al.
Published: (2024)

Pattern Recognition or Medical Knowledge? The Problem with Multiple-Choice Questions in Medicine
by: Griot, Maxime, et al.
Published: (2024)

Anchored Answers: Unravelling Positional Bias in GPT-2's Multiple-Choice Questions
by: Li, Ruizhe, et al.
Published: (2024)

A Study on Large Language Models' Limitations in Multiple-Choice Question Answering
by: Khatun, Aisha, et al.
Published: (2024)

QOG:Question and Options Generation based on Language Model
by: Zhou, Jincheng
Published: (2024)

UnibucLLM: Harnessing LLMs for Automated Prediction of Item Difficulty and Response Time for Multiple-Choice Questions
by: Rogoz, Ana-Cristina, et al.
Published: (2024)

Generating Multiple-Choice Knowledge Questions with Interpretable Difficulty Estimation using Knowledge Graphs and Large Language Models
by: Şakiroğlu, Mehmet Can, et al.
Published: (2026)

QMOS: Enhancing LLMs for Telecommunication with Question Masked loss and Option Shuffling
by: Guda, Blessed, et al.
Published: (2024)

Improve Large Language Model Systems with User Logs
by: Wang, Changyue, et al.
Published: (2026)

MM-PoE: Multiple Choice Reasoning via. Process of Elimination using Multi-Modal Models
by: Chakrabarty, Sayak, et al.
Published: (2024)

It is Too Many Options: Pitfalls of Multiple-Choice Questions in Generative AI and Medical Education
by: Singh, Shrutika, et al.
Published: (2025)

Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation
by: Zhang, Yuhui, et al.
Published: (2025)

Answer Matching Outperforms Multiple Choice for Language Model Evaluation
by: Chandak, Nikhil, et al.
Published: (2025)

Multiple Choice Learning of Low-Rank Adapters for Language Modeling
by: Letzelter, Victor, et al.
Published: (2025)

Decoupling Reasoning and Knowledge Injection for In-Context Knowledge Editing
by: Wang, Changyue, et al.
Published: (2025)

ATACompressor: Adaptive Task-Aware Compression for Efficient Long-Context Processing in LLMs
by: Li, Xuancheng, et al.
Published: (2026)

Flow-of-Options: Diversified and Improved LLM Reasoning by Thinking Through Options
by: Nair, Lakshmi, et al.
Published: (2025)

Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A
by: Plaut, Benjamin, et al.
Published: (2024)

Beyond Experience Retrieval: Learning to Generate Utility-Optimized Structured Experience for Frozen LLMs
by: Li, Xuancheng, et al.
Published: (2026)

Not All Options Are Created Equal: Textual Option Weighting for Token-Efficient LLM-Based Knowledge Tracing
by: Kim, JongWoo, et al.
Published: (2024)

Evaluating Intelligence via Trial and Error
by: Zhan, Jingtao, et al.
Published: (2025)

How do Humans Process AI-generated Hallucination Contents: a Neuroimaging Study
by: Zhu, Shuqi, et al.
Published: (2026)

Enhancing Judgment Document Generation via Agentic Legal Information Collection and Rubric-Guided Optimization
by: Su, Weihang, et al.
Published: (2026)

Analytical Search
by: Tu, Yiteng, et al.
Published: (2026)

Graphical Reasoning: LLM-based Semi-Open Relation Extraction
by: Tao, Yicheng, et al.
Published: (2024)

ASTRA: Adaptive Semantic Tree Reasoning Architecture for Complex Table Question Answering
by: Guo, Xiaoke, et al.
Published: (2026)

UQ: Assessing Language Models on Unsolved Questions
by: Nie, Fan, et al.
Published: (2025)

Wait, that's not an option: LLMs Robustness with Incorrect Multiple-Choice Options
by: Góral, Gracjan, et al.
Published: (2024)

Augmenting Math Word Problems via Iterative Question Composing
by: Liu, Haoxiong, et al.
Published: (2024)

QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks
by: Tseng, Albert, et al.
Published: (2024)

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach
by: Li, Jiyao, et al.
Published: (2024)

Examining LLMs' Uncertainty Expression Towards Questions Outside Parametric Knowledge
by: Liu, Genglin, et al.
Published: (2023)

Differentiating Choices via Commonality for Multiple-Choice Question Answering
by: Deng, Wenqing, et al.
Published: (2024)

Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination
by: Yang, Nakyeong, et al.
Published: (2023)

Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering
by: Shi, Yucheng, et al.
Published: (2024)

CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization
by: Min, Nay Myat, et al.
Published: (2024)