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Papers

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Showing 101–150 of 439 papers

TitleStatusHype
Layer-Aware Task Arithmetic: Disentangling Task-Specific and Instruction-Following Knowledge—0
FINEREASON: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle SolvingCode1
Weaker LLMs' Opinions Also Matter: Mixture of Opinions Enhances LLM's Mathematical Reasoning—0
Distill Not Only Data but Also Rewards: Can Smaller Language Models Surpass Larger Ones?—0
SECURA: Sigmoid-Enhanced CUR Decomposition with Uninterrupted Retention and Low-Rank Adaptation in Large Language Models—0
LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint—0
Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language ModelsCode2
Dynamic Parallel Tree Search for Efficient LLM Reasoning—0
NLoRA: Nyström-Initiated Low-Rank Adaptation for Large Language ModelsCode0
Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay PerspectiveCode0
SIFT: Grounding LLM Reasoning in Contexts via StickersCode2
From Correctness to Comprehension: AI Agents for Personalized Error Diagnosis in Education—0
TreeCut: A Synthetic Unanswerable Math Word Problem Dataset for LLM Hallucination EvaluationCode0
Integrating Arithmetic Learning Improves Mathematical Reasoning in Smaller Models—0
SMART: Self-Aware Agent for Tool Overuse MitigationCode1
MathFimer: Enhancing Mathematical Reasoning by Expanding Reasoning Steps through Fill-in-the-Middle Task—0
TokenSkip: Controllable Chain-of-Thought Compression in LLMsCode3
Uncertainty-Aware Search and Value Models: Mitigating Search Scaling Flaws in LLMs—0
Balancing the Budget: Understanding Trade-offs Between Supervised and Preference-Based Finetuning—0
Don't Get Lost in the Trees: Streamlining LLM Reasoning by Overcoming Tree Search Exploration PitfallsCode0
Leveraging Uncertainty Estimation for Efficient LLM Routing—0
Hybrid Offline-online Scheduling Method for Large Language Model Inference Optimization—0
CoT-Valve: Length-Compressible Chain-of-Thought TuningCode2
Cost-Saving LLM Cascades with Early Abstention—0
Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical RangesCode0
Self-Training Large Language Models for Tool-Use Without Demonstrations—0
Evolving LLMs' Self-Refinement Capability via Iterative Preference Optimization—0
Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment—0
Upweighting Easy Samples in Fine-Tuning Mitigates ForgettingCode0
BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation—0
ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference—0
Pheromone-based Learning of Optimal Reasoning Paths—0
RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations—0
Is your LLM trapped in a Mental Set? Investigative study on how mental sets affect the reasoning capabilities of LLMs—0
MyGO Multiplex CoT: A Method for Self-Reflection in Large Language Models via Double Chain of Thought ThinkingCode1
DNA 1.0 Technical Report—0
ArithmAttack: Evaluating Robustness of LLMs to Noisy Context in Math Problem SolvingCode0
DiscQuant: A Quantization Method for Neural Networks Inspired by Discrepancy TheoryCode0
Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models—0
InfiFusion: A Unified Framework for Enhanced Cross-Model Reasoning via LLM Fusion—0
Recursive Decomposition of Logical Thoughts: Framework for Superior Reasoning and Knowledge Propagation in Large Language Models—0
DIVE: Diversified Iterative Self-ImprovementCode0
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs—0
LLM2: Let Large Language Models Harness System 2 ReasoningCode0
Natural Language Fine-TuningCode2
Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning—0
Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions—0
System-2 Mathematical Reasoning via Enriched Instruction Tuning—0
Inference Scaling vs Reasoning: An Empirical Analysis of Compute-Optimal LLM Problem-SolvingCode0
Offline Reinforcement Learning for LLM Multi-Step ReasoningCode2
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Benchmark Results

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