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Papers

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Showing 1–50 of 439 papers

TitleStatusHype
GEMMAS: Graph-based Evaluation Metrics for Multi Agent Systems—0
DAC: A Dynamic Attention-aware Approach for Task-Agnostic Prompt CompressionCode0
KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning?—0
CoRE: Enhancing Metacognition with Label-free Self-evaluation in LRMs—0
Activation Steering for Chain-of-Thought CompressionCode0
any4: Learned 4-bit Numeric Representation for LLMsCode2
IRanker: Towards Ranking Foundation ModelCode1
Scaling Speculative Decoding with Lookahead ReasoningCode0
Plan for Speed -- Dilated Scheduling for Masked Diffusion Language Models—0
CommVQ: Commutative Vector Quantization for KV Cache CompressionCode1
AgentGroupChat-V2: Divide-and-Conquer Is What LLM-Based Multi-Agent System NeedCode0
Fractional Reasoning via Latent Steering Vectors Improves Inference Time Compute—0
LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing—0
Re-Initialization Token Learning for Tool-Augmented Large Language ModelsCode0
Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad TeamCode1
Excessive Reasoning Attack on Reasoning LLMs—0
LearnAlign: Reasoning Data Selection for Reinforcement Learning in Large Language Models Based on Improved Gradient Alignment—0
Learning a Continue-Thinking Token for Enhanced Test-Time ScalingCode0
PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models—0
Fast on the Easy, Deep on the Hard: Efficient Reasoning via Powered Length Penalty—0
Slimming Down LLMs Without Losing Their Minds—0
Unsupervised Elicitation of Language ModelsCode0
Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search—0
Guideline Forest: Experience-Induced Multi-Guideline Reasoning with Stepwise Aggregation—0
Text-to-LoRA: Instant Transformer AdaptionCode0
Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph PropertiesCode1
Automatic Robustness Stress Testing of LLMs as Mathematical Problem Solvers—0
Evaluation of LLMs for mathematical problem solving—0
Model Unlearning via Sparse Autoencoder Subspace Guided Projections—0
Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language ModelsCode1
Can LLMs Reason Abstractly Over Math Word Problems Without CoT? Disentangling Abstract Formulation From Arithmetic Computation—0
Discriminative Policy Optimization for Token-Level Reward ModelsCode0
CoThink: Token-Efficient Reasoning via Instruct Models Guiding Reasoning Models—0
Maximizing Confidence Alone Improves Reasoning—0
LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models—0
System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts—0
The Price of Format: Diversity Collapse in LLMsCode0
Efficient Data Selection at Scale via Influence Distillation—0
Steering LLM Reasoning Through Bias-Only Adaptation—0
AdaCtrl: Towards Adaptive and Controllable Reasoning via Difficulty-Aware BudgetingCode0
PMPO: Probabilistic Metric Prompt Optimization for Small and Large Language Models—0
EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action PruningCode0
Learning to Rank Chain-of-Thought: An Energy-Based Approach with Outcome Supervision—0
Self-Reasoning Language Models: Unfold Hidden Reasoning Chains with Few Reasoning Catalyst—0
Dual Decomposition of Weights and Singular Value Low Rank Adaptation—0
DRP: Distilled Reasoning Pruning with Skill-aware Step Decomposition for Efficient Large Reasoning Models—0
Let LLMs Break Free from Overthinking via Self-Braking TuningCode2
RL in Name Only? Analyzing the Structural Assumptions in RL post-training for LLMs—0
Seek in the Dark: Reasoning via Test-Time Instance-Level Policy Gradient in Latent SpaceCode2
Thinkless: LLM Learns When to ThinkCode3
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Benchmark Results

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