Sample Smart, Not Hard: Correctness-First Decoding for Better Reasoning in LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Xueyan, Su, Guinan, Sachan, Mrinmaya, Geiping, Jonas |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multi-Stream LLMs: Unblocking Language Models with Parallel Streams of Thoughts, Inputs and Outputs
by: Su, Guinan, et al.
Published: (2026)
by: Su, Guinan, et al.
Published: (2026)
Efficient Test-Time Inference via Deterministic Exploration of Truncated Decoding Trees
by: Li, Xueyan, et al.
Published: (2026)
by: Li, Xueyan, et al.
Published: (2026)
Efficient Parallel Samplers for Recurrent-Depth Models and Their Connection to Diffusion Language Models
by: Geiping, Jonas, et al.
Published: (2025)
by: Geiping, Jonas, et al.
Published: (2025)
Fine, I'll Merge It Myself: A Multi-Fidelity Framework for Automated Model Merging
by: Su, Guinan, et al.
Published: (2025)
by: Su, Guinan, et al.
Published: (2025)
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing
by: Ozyurt, Yilmazcan, et al.
Published: (2024)
by: Ozyurt, Yilmazcan, et al.
Published: (2024)
What Do Language Models Learn in Context? The Structured Task Hypothesis
by: Li, Jiaoda, et al.
Published: (2024)
by: Li, Jiaoda, et al.
Published: (2024)
Simulating Students or Sycophantic Problem Solving? On Misconception Faithfulness of LLM Simulators
by: Do, Heejin, et al.
Published: (2026)
by: Do, Heejin, et al.
Published: (2026)
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors
by: Daheim, Nico, et al.
Published: (2024)
by: Daheim, Nico, et al.
Published: (2024)
Scaling Open-Ended Reasoning to Predict the Future
by: Chandak, Nikhil, et al.
Published: (2025)
by: Chandak, Nikhil, et al.
Published: (2025)
Rewiring Experts on the Fly:Continuous Rerouting for Better Online Adaptation in Mixture-of-Expert models
by: Su, Guinan, et al.
Published: (2025)
by: Su, Guinan, et al.
Published: (2025)
Efficiently Dispatching Flash Attention For Partially Filled Attention Masks
by: Sharma, Agniv, et al.
Published: (2024)
by: Sharma, Agniv, et al.
Published: (2024)
Learning to Reason Efficiently with A* Post-Training
by: Opedal, Andreas, et al.
Published: (2026)
by: Opedal, Andreas, et al.
Published: (2026)
Improving Large Language Model Safety with Contrastive Representation Learning
by: Simko, Samuel, et al.
Published: (2025)
by: Simko, Samuel, et al.
Published: (2025)
Don't Throw Away Your Beams: Improving Consistency-based Uncertainties in LLMs via Beam Search
by: Fadeeva, Ekaterina, et al.
Published: (2025)
by: Fadeeva, Ekaterina, et al.
Published: (2025)
Towards Aligning Language Models with Textual Feedback
by: Lloret, Saüc Abadal, et al.
Published: (2024)
by: Lloret, Saüc Abadal, et al.
Published: (2024)
Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection
by: Lalwani, Abhinav, et al.
Published: (2024)
by: Lalwani, Abhinav, et al.
Published: (2024)
Entropy-Aligned Decoding of LMs for Better Writing and Reasoning
by: Ahmed, Kareem, et al.
Published: (2026)
by: Ahmed, Kareem, et al.
Published: (2026)
MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs
by: Opedal, Andreas, et al.
Published: (2024)
by: Opedal, Andreas, et al.
Published: (2024)
Coercing LLMs to do and reveal (almost) anything
by: Geiping, Jonas, et al.
Published: (2024)
by: Geiping, Jonas, et al.
Published: (2024)
LLM-based Cognitive Models of Students with Misconceptions
by: Sonkar, Shashank, et al.
Published: (2024)
by: Sonkar, Shashank, et al.
Published: (2024)
Are Language Models Efficient Reasoners? A Perspective from Logic Programming
by: Opedal, Andreas, et al.
Published: (2025)
by: Opedal, Andreas, et al.
Published: (2025)
MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors
by: Macina, Jakub, et al.
Published: (2025)
by: Macina, Jakub, et al.
Published: (2025)
Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation
by: Liu, Tianyu, et al.
Published: (2024)
by: Liu, Tianyu, et al.
Published: (2024)
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
by: Geiping, Jonas, et al.
Published: (2025)
by: Geiping, Jonas, et al.
Published: (2025)
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
by: Hans, Abhimanyu, et al.
Published: (2024)
by: Hans, Abhimanyu, et al.
Published: (2024)
Dense SAE Latents Are Features, Not Bugs
by: Sun, Xiaoqing, et al.
Published: (2025)
by: Sun, Xiaoqing, et al.
Published: (2025)
Confidence Regulation Neurons in Language Models
by: Stolfo, Alessandro, et al.
Published: (2024)
by: Stolfo, Alessandro, et al.
Published: (2024)
CLadder: Assessing Causal Reasoning in Language Models
by: Jin, Zhijing, et al.
Published: (2023)
by: Jin, Zhijing, et al.
Published: (2023)
GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching
by: Su, Guinan, et al.
Published: (2025)
by: Su, Guinan, et al.
Published: (2025)
Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and Distillation
by: Phan, Phuc, et al.
Published: (2024)
by: Phan, Phuc, et al.
Published: (2024)
Answer Matching Outperforms Multiple Choice for Language Model Evaluation
by: Chandak, Nikhil, et al.
Published: (2025)
by: Chandak, Nikhil, et al.
Published: (2025)
MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations
by: Huang, Kaixuan, et al.
Published: (2025)
by: Huang, Kaixuan, et al.
Published: (2025)
Capability-Based Scaling Trends for LLM-Based Red-Teaming
by: Panfilov, Alexander, et al.
Published: (2025)
by: Panfilov, Alexander, et al.
Published: (2025)
Boosting Lossless Speculative Decoding via Feature Sampling and Partial Alignment Distillation
by: Gui, Lujun, et al.
Published: (2024)
by: Gui, Lujun, et al.
Published: (2024)
Investigating the Zone of Proximal Development of Language Models for In-Context Learning
by: Cui, Peng, et al.
Published: (2025)
by: Cui, Peng, et al.
Published: (2025)
Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-Correct Decoding
by: Yi, Hanling, et al.
Published: (2024)
by: Yi, Hanling, et al.
Published: (2024)
Can Large Language Models Infer Causation from Correlation?
by: Jin, Zhijing, et al.
Published: (2023)
by: Jin, Zhijing, et al.
Published: (2023)
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
by: Opedal, Andreas, et al.
Published: (2024)
by: Opedal, Andreas, et al.
Published: (2024)
Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment
by: Bachmann, Gregor, et al.
Published: (2025)
by: Bachmann, Gregor, et al.
Published: (2025)
When Fewer Layers Break More Chains: Layer Pruning Harms Test-Time Scaling in LLMs
by: Wang, Keyu, et al.
Published: (2025)
by: Wang, Keyu, et al.
Published: (2025)
Similar Items
-
Multi-Stream LLMs: Unblocking Language Models with Parallel Streams of Thoughts, Inputs and Outputs
by: Su, Guinan, et al.
Published: (2026) -
Efficient Test-Time Inference via Deterministic Exploration of Truncated Decoding Trees
by: Li, Xueyan, et al.
Published: (2026) -
Efficient Parallel Samplers for Recurrent-Depth Models and Their Connection to Diffusion Language Models
by: Geiping, Jonas, et al.
Published: (2025) -
Fine, I'll Merge It Myself: A Multi-Fidelity Framework for Automated Model Merging
by: Su, Guinan, et al.
Published: (2025) -
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing
by: Ozyurt, Yilmazcan, et al.
Published: (2024)