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Arithmetic Reasoning
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
DCR: Quantifying Data Contamination in LLMs Evaluation
DS@GT at CheckThat! 2025: Evaluating Context and Tokenization Strategies for Numerical Fact Verification
FinLMM-R1: Enhancing Financial Reasoning in LMM through Scalable Data and Reward Design
Mathematical Reasoning for Unmanned Aerial Vehicles: A RAG-Based Approach for Complex Arithmetic Reasoning
Learning-at-Criticality in Large Language Models for Quantum Field Theory and Beyond
DiaBlo: Diagonal Blocks Are Sufficient For Finetuning
Joint Flashback Adaptation for Forgetting-Resistant Instruction Tuning
Tokenization Constraints in LLMs: A Study of Symbolic and Arithmetic Reasoning Limits
OMAC: A Broad Optimization Framework for LLM-Based Multi-Agent Collaboration
HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems
Fact-Consistency Evaluation of Text-to-SQL Generation for Business Intelligence Using Exaone 3.5
CAPO: Cost-Aware Prompt Optimization
ThoughtProbe: Classifier-Guided Thought Space Exploration Leveraging LLM Intrinsic Reasoning
Is the Reversal Curse a Binding Problem? Uncovering Limitations of Transformers from a Basic Generalization Failure
Your Language Model May Think Too Rigidly: Achieving Reasoning Consistency with Symmetry-Enhanced Training
The Lottery LLM Hypothesis, Rethinking What Abilities Should LLM Compression Preserve?
Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning
Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights
Why Vision Language Models Struggle with Visual Arithmetic? Towards Enhanced Chart and Geometry Understanding
On Representational Dissociation of Language and Arithmetic in Large Language Models
Can LLMs Maintain Fundamental Abilities under KV Cache Compression?
CLoQ: Enhancing Fine-Tuning of Quantized LLMs via Calibrated LoRA Initialization
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding
DoTA: Weight-Decomposed Tensor Adaptation for Large Language Models
Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning
Why We Build Local Large Language Models: An Observational Analysis from 35 Japanese and Multilingual LLMs
Hint Marginalization for Improved Reasoning in Large Language Models
GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection
S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity
Think-to-Talk or Talk-to-Think? When LLMs Come Up with an Answer in Multi-Step Arithmetic Reasoning
PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model
Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning
Arithmetic Without Algorithms: Language Models Solve Math With a Bag of Heuristics
FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation Models
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