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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
Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces—0
Testing GPT-4-o1-preview on math and science problems: A follow-up study—0
Cognitive Noise and Altruistic Preferences—0
Teaching-Inspired Integrated Prompting Framework: A Novel Approach for Enhancing Reasoning in Large Language ModelsCode0
Herald: A Natural Language Annotated Lean 4 Dataset—0
Subtle Errors Matter: Preference Learning via Error-injected Self-editing—0
Hallucinating AI Hijacking Attack: Large Language Models and Malicious Code Recommenders—0
Give me a hint: Can LLMs take a hint to solve math problems?Code0
FG-PRM: Fine-grained Hallucination Detection and Mitigation in Language Model Mathematical Reasoning—0
Beyond Captioning: Task-Specific Prompting for Improved VLM Performance in Mathematical Reasoning—0
Solving Functional Optimization with Deep Networks and Variational Principles—0
Intriguing Properties of Large Language and Vision Models—0
Rule-based Data Selection for Large Language Models—0
Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths—0
fPLSA: Learning Semantic Structures in Document Collections Using Foundation Models—0
Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification—0
BloomWise: Enhancing Problem-Solving capabilities of Large Language Models using Bloom's-Taxonomy-Inspired Prompts—0
Deliberate Reasoning for LLMs as Structure-aware Planning with Accurate World Model—0
Geometry is All You Need: A Unified Taxonomy of Matrix and Tensor Factorization for Compression of Generative Language Models—0
CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning—0
Towards the Pedagogical Steering of Large Language Models for Tutoring: A Case Study with Modeling Productive FailureCode0
Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge InjectionCode0
Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-Generation—0
An Exploration of Self-Supervised Mutual Information Alignment for Multi-Task SettingsCode0
Evaluating Robustness of Reward Models for Mathematical Reasoning—0
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