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Papers

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Showing 1–50 of 439 papers

TitleStatusHype
ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All ToolsCode14
Qwen2 Technical ReportCode13
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-TuningCode9
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt CompressionCode9
Qwen2.5-Omni Technical ReportCode7
Revisiting MoE and Dense Speed-Accuracy Comparisons for LLM TrainingCode7
Chain-of-Thought Prompting Elicits Reasoning in Large Language ModelsCode6
Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8BCode5
Common 7B Language Models Already Possess Strong Math CapabilitiesCode5
LLMLingua: Compressing Prompts for Accelerated Inference of Large Language ModelsCode5
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-InstructCode5
SepLLM: Accelerate Large Language Models by Compressing One Segment into One SeparatorCode4
SuperCorrect: Supervising and Correcting Language Models with Error-Driven InsightsCode4
Mutual Reasoning Makes Smaller LLMs Stronger Problem-SolversCode4
Quiet-STaR: Language Models Can Teach Themselves to Think Before SpeakingCode4
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning DatasetCode4
InternLM-Math: Open Math Large Language Models Toward Verifiable ReasoningCode4
ReFT: Reasoning with Reinforced Fine-TuningCode4
Baichuan 2: Open Large-scale Language ModelsCode4
Thinkless: LLM Learns When to ThinkCode3
Syzygy of Thoughts: Improving LLM CoT with the Minimal Free ResolutionCode3
TokenSkip: Controllable Chain-of-Thought Compression in LLMsCode3
Scaling up Masked Diffusion Models on TextCode3
Large Language Monkeys: Scaling Inference Compute with Repeated SamplingCode3
LoRA-GA: Low-Rank Adaptation with Gradient ApproximationCode3
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMsCode3
Automatic Instruction Evolving for Large Language ModelsCode3
From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by StepCode3
MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical ReasoningCode3
Monte Carlo Tree Search Boosts Reasoning via Iterative Preference LearningCode3
LayerSkip: Enabling Early Exit Inference and Self-Speculative DecodingCode3
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language ModelsCode3
MARIO: MAth Reasoning with code Interpreter Output -- A Reproducible PipelineCode3
SkyMath: Technical ReportCode3
Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Language ModelsCode3
PAL: Program-aided Language ModelsCode3
Training Verifiers to Solve Math Word ProblemsCode3
any4: Learned 4-bit Numeric Representation for LLMsCode2
Let LLMs Break Free from Overthinking via Self-Braking TuningCode2
Seek in the Dark: Reasoning via Test-Time Instance-Level Policy Gradient in Latent SpaceCode2
Synthetic Data RL: Task Definition Is All You NeedCode2
SLOT: Sample-specific Language Model Optimization at Test-timeCode2
Dynamic Early Exit in Reasoning ModelsCode2
SEAL: Steerable Reasoning Calibration of Large Language Models for FreeCode2
CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning ModelsCode2
Chain-of-Tools: Utilizing Massive Unseen Tools in the CoT Reasoning of Frozen Language ModelsCode2
Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language ModelsCode2
SIFT: Grounding LLM Reasoning in Contexts via StickersCode2
CoT-Valve: Length-Compressible Chain-of-Thought TuningCode2
Natural Language Fine-TuningCode2
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Benchmark Results

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