Co-occurring keywords · papers mentioning both
Papers
Truth Behind the Scene: Designing Evaluations Benchmarks to Assess LLMs’ Task-Specific Understanding over Test-Taking Strategies
AAAI 2025
UniICL: An Efficient ICL Framework Unifying Compression, Selection, and Generation
ACL 2025
VSP: Diagnosing the Dual Challenges of Perception and Reasoning in Spatial Planning Tasks for MLLMs
ICCV 2025
WiCkeD: A Simple Method to Make Multiple Choice Benchmarks More Challenging
ACL 2025
Belief Revision: The Adaptability of Large Language Models Reasoning
EMNLP 2024
Benchmarking Chinese Commonsense Reasoning of LLMs: From Chinese-Specifics to Reasoning-Memorization Correlations
ACL 2024
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
NeurIPS 2024
DDPrompt: Differential Diversity Prompting in Large Language Models
ACL 2024
Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing
NeurIPS 2024
Let Me Speak Freely? A Study On The Impact Of Format Restrictions On Large Language Model Performance.
EMNLP 2024
MAmmoTH2: Scaling Instructions from the Web
NeurIPS 2024
NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes
ACL 2024
On the Inductive Bias of Stacking Towards Improving Reasoning
NeurIPS 2024
Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?
ACL 2024
Self-playing Adversarial Language Game Enhances LLM Reasoning
NeurIPS 2024
Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models
EMNLP 2024
The Impact of Reasoning Step Length on Large Language Models
ACL 2024
When LLMs Meet Cunning Texts: A Fallacy Understanding Benchmark for Large Language Models
NeurIPS 2024
Advancing Visual Grounding With Scene Knowledge: Benchmark and Method
CVPR 2023
Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data
EMNLP 2023
Democratizing Reasoning Ability: Tailored Learning from Large Language Model
EMNLP 2023
Getting MoRE out of Mixture of Language Model Reasoning Experts
EMNLP 2023
Large Language Models Can Self-Improve
EMNLP 2023
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA
EMNLP 2022
Diagnosing the First-Order Logical Reasoning Ability Through LogicNLI
EMNLP 2021