$Cover Image$

Not All Votes Count! Programs as Verifiers Improve Self-Consistency of Language Models for Math Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Toh, Vernon Y. H., Ghosal, Deepanway, Poria, Soujanya
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Jumping Reasoning Curve? Tracking the Evolution of Reasoning Performance in GPT-[n] and o-[n] Models on Multimodal Puzzles
by: Toh, Vernon Y. H., et al.
Published: (2025)

Are Language Models Puzzle Prodigies? Algorithmic Puzzles Unveil Serious Challenges in Multimodal Reasoning
by: Ghosal, Deepanway, et al.
Published: (2024)

Emma-X: An Embodied Multimodal Action Model with Grounded Chain of Thought and Look-ahead Spatial Reasoning
by: Sun, Qi, et al.
Published: (2024)

PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns
by: Chia, Yew Ken, et al.
Published: (2024)

Ruby Teaming: Improving Quality Diversity Search with Memory for Automated Red Teaming
by: Han, Vernon Toh Yan, et al.
Published: (2024)

VerityMath: Advancing Mathematical Reasoning by Self-Verification Through Unit Consistency
by: Han, Vernon Toh Yan, et al.
Published: (2023)

Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique
by: Pala, Tej Deep, et al.
Published: (2024)

Evaluating LLMs' Mathematical and Coding Competency through Ontology-guided Interventions
by: Hong, Pengfei, et al.
Published: (2024)

Improving Text-To-Audio Models with Synthetic Captions
by: Kong, Zhifeng, et al.
Published: (2024)

Lessons from Training Grounded LLMs with Verifiable Rewards
by: Sim, Shang Hong, et al.
Published: (2025)

Tango 2: Aligning Diffusion-based Text-to-Audio Generations through Direct Preference Optimization
by: Majumder, Navonil, et al.
Published: (2024)

NLKI: A lightweight Natural Language Knowledge Integration Framework for Improving Small VLMs in Commonsense VQA Tasks
by: Dutta, Aritra, et al.
Published: (2025)

Training Vision-Language Process Reward Models for Test-Time Scaling in Multimodal Reasoning: Key Insights and Lessons Learned
by: Ong, Brandon, et al.
Published: (2025)

Towards Robust Instruction Tuning on Multimodal Large Language Models
by: Han, Wei, et al.
Published: (2024)

Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic
by: Bhardwaj, Rishabh, et al.
Published: (2024)

Sowing the Wind, Reaping the Whirlwind: The Impact of Editing Language Models
by: Hazra, Rima, et al.
Published: (2024)

Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations
by: Hazra, Rima, et al.
Published: (2024)

InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning
by: Ying, Huaiyuan, et al.
Published: (2024)

DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling
by: Deep, Pala Tej, et al.
Published: (2024)

Stacked from One: Multi-Scale Self-Injection for Context Window Extension
by: Han, Wei, et al.
Published: (2026)

Self-Adaptive Sampling for Efficient Video Question-Answering on Image--Text Models
by: Han, Wei, et al.
Published: (2023)

Self-Consistency Boosts Calibration for Math Reasoning
by: Wang, Ante, et al.
Published: (2024)

Ranked Voting based Self-Consistency of Large Language Models
by: Wang, Weiqin, et al.
Published: (2025)

Consistency Guided Knowledge Retrieval and Denoising in LLMs for Zero-shot Document-level Relation Triplet Extraction
by: Sun, Qi, et al.
Published: (2024)

PREMISE: Matching-based Prediction for Accurate Review Recommendation
by: Han, Wei, et al.
Published: (2025)

Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense
by: Shen, Siqi, et al.
Published: (2024)

Error Typing for Smarter Rewards: Improving Process Reward Models with Error-Aware Hierarchical Supervision
by: Pala, Tej Deep, et al.
Published: (2025)

Harnessing Large Language Models for Scientific Novelty Detection
by: Liu, Yan, et al.
Published: (2025)

Improving Multilingual Math Reasoning for African Languages
by: Ogundepo, Odunayo, et al.
Published: (2025)

Large Language Models for Automated Open-domain Scientific Hypotheses Discovery
by: Yang, Zonglin, et al.
Published: (2023)

DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning
by: Shao, Zhihong, et al.
Published: (2025)

Inference Time Alignment with Reward-Guided Tree Search
by: Hung, Chia-Yu, et al.
Published: (2024)

Mustango: Toward Controllable Text-to-Music Generation
by: Melechovsky, Jan, et al.
Published: (2023)

CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency Models
by: Li, Xiang, et al.
Published: (2024)

Can-Do! A Dataset and Neuro-Symbolic Grounded Framework for Embodied Planning with Large Multimodal Models
by: Chia, Yew Ken, et al.
Published: (2024)

Multidimensional Consistency Improves Reasoning in Language Models
by: Lai, Huiyuan, et al.
Published: (2025)

ClozeMath: Improving Mathematical Reasoning in Language Models by Learning to Fill Equations
by: Pham, Quang Hieu, et al.
Published: (2025)

ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline
by: Xu, Yifan, et al.
Published: (2024)

Toward Robust Multimodal Learning using Multimodal Foundational Models
by: Zhao, Xianbing, et al.
Published: (2024)

Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
by: Li, Xingxuan, et al.
Published: (2023)