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Papers

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Showing 251–300 of 439 papers

TitleStatusHype
Iterative Reasoning Preference Optimization—0
Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning—0
KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning?—0
Kwai-STaR: Transform LLMs into State-Transition Reasoners—0
KwaiYiiMath: Technical Report—0
Large Language Models as Analogical Reasoners—0
Large Language Models Can Self-Improve—0
Layer-Aware Task Arithmetic: Disentangling Task-Specific and Instruction-Following Knowledge—0
LearnAlign: Reasoning Data Selection for Reinforcement Learning in Large Language Models Based on Improved Gradient Alignment—0
Learning to Rank Chain-of-Thought: An Energy-Based Approach with Outcome Supervision—0
Learning to Reason via Self-Iterative Process Feedback for Small Language Models—0
LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint—0
Let's Reinforce Step by Step—0
Let's reward step by step: Step-Level reward model as the Navigators for Reasoning—0
Leveraging Uncertainty Estimation for Efficient LLM Routing—0
LiteSearch: Efficacious Tree Search for LLM—0
LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models—0
LLaMa-SciQ: An Educational Chatbot for Answering Science MCQ—0
Meaning-Typed Programming: Language Abstraction and Runtime for Model-Integrated Applications—0
DavIR: Data Selection via Implicit Reward for Large Language Models—0
Local Prompt Optimization—0
Logic Contrastive Reasoning with Lightweight Large Language Model for Math Word Problems—0
Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models—0
LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing—0
MALT: Improving Reasoning with Multi-Agent LLM Training—0
MAmmoTH2: Scaling Instructions from the Web—0
MathAttack: Attacking Large Language Models Towards Math Solving Ability—0
MathDivide: Improved mathematical reasoning by large language models—0
MathFimer: Enhancing Mathematical Reasoning by Expanding Reasoning Steps through Fill-in-the-Middle Task—0
MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs—0
Maximizing Confidence Alone Improves Reasoning—0
Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients—0
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving—0
MIND: Math Informed syNthetic Dialogues for Pretraining LLMs—0
MindStar: Enhancing Math Reasoning in Pre-trained LLMs at Inference Time—0
Turning Up the Heat: Min-p Sampling for Creative and Coherent LLM Outputs—0
Mixture of Cache-Conditional Experts for Efficient Mobile Device Inference—0
Model Unlearning via Sparse Autoencoder Subspace Guided Projections—0
Multi-Reference Preference Optimization for Large Language Models—0
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision—0
Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning—0
No Train Still Gain. Unleash Mathematical Reasoning of Large Language Models with Monte Carlo Tree Search Guided by Energy Function—0
Nudging: Inference-time Alignment of LLMs via Guided Decoding—0
On Designing Effective RL Reward at Training Time for LLM Reasoning—0
Making Large Language Models Better Reasoners with Step-Aware Verifier—0
Optimizing Chain-of-Thought Reasoning: Tackling Arranging Bottleneck via Plan Augmentation—0
Orca-Math: Unlocking the potential of SLMs in Grade School Math—0
PARAMANU-GANITA: Language Model with Mathematical Capabilities—0
Patience Is The Key to Large Language Model Reasoning—0
PersonaMath: Enhancing Math Reasoning through Persona-Driven Data Augmentation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1XolverAccuracy98.1—Unverified
2Orange-mini0-shot MRR98—Unverified