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TitleStatusHype
Can Stories Help LLMs Reason? Curating Information Space Through Narrative—0
ReasonAgain: Using Extractable Symbolic Programs to Evaluate Mathematical Reasoning—0
From Blind Solvers to Logical Thinkers: Benchmarking LLMs' Logical Integrity on Faulty Mathematical Problems—0
Mixture of Parrots: Experts improve memorization more than reasoning—0
MiLoRA: Efficient Mixture of Low-Rank Adaptation for Large Language Models Fine-tuning—0
Polyak's Heavy Ball Method Achieves Accelerated Local Rate of Convergence under Polyak-Lojasiewicz Inequality—0
JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation—0
Forewarned is Forearmed: Leveraging LLMs for Data Synthesis through Failure-Inducing Exploration—0
Optimizing Chain-of-Thought Reasoning: Tackling Arranging Bottleneck via Plan Augmentation—0
No more hard prompts: SoftSRV prompting for synthetic data generation—0
PromptHive: Bringing Subject Matter Experts Back to the Forefront with Collaborative Prompt Engineering for Educational Content Creation—0
On Designing Effective RL Reward at Training Time for LLM Reasoning—0
Do Large Language Models Truly Grasp Mathematics? An Empirical Exploration From Cognitive Psychology—0
LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting Problems—0
Step Guided Reasoning: Improving Mathematical Reasoning using Guidance Generation and Step Reasoning—0
Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens—0
SBI-RAG: Enhancing Math Word Problem Solving for Students through Schema-Based Instruction and Retrieval-Augmented GenerationCode0
Not All Votes Count! Programs as Verifiers Improve Self-Consistency of Language Models for Math ReasoningCode0
When Not to Answer: Evaluating Prompts on GPT Models for Effective Abstention in Unanswerable Math Word Problems—0
Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling—0
MIND: Math Informed syNthetic Dialogues for Pretraining LLMs—0
Innovative Thinking, Infinite Humor: Humor Research of Large Language Models through Structured Thought Leaps—0
One Language, Many Gaps: Evaluating Dialect Fairness and Robustness of Large Language Models in Reasoning TasksCode0
Embedding Self-Correction as an Inherent Ability in Large Language Models for Enhanced Mathematical Reasoning—0
Expanding Search Space with Diverse Prompting Agents: An Efficient Sampling Approach for LLM Mathematical Reasoning—0
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