Awesome Large Language Models
π
Papers
π§
Topics
π₯
Trending
πΊοΈ
Map
π
Leaderboards
π
Learn
π€
Ask AI
β―
More
π₯
Authors
π
Reading Packs
π
Datasets
π οΈ
Tools
π°
News
π
Blogs
βοΈ
Newsletter
π―
Research Radar
π
Saved
+ Add Paper
βΎ
β
β all topics
overview
states
loadingβ¦
π€
Ask AI
Awesome states β curated papers, datasets & benchmarks Β· Awesome Large Language Models
β all topics
overview
states
12 papers tagged states β re-sort below
Papers
π₯ Trending (default)
π Most cited
π Newest first
π€ A β Z by title
12 papers Β· trending (default)
numbers = π₯ heat
Enhancing Multi-Image Understanding through Delimiter Token Scaling
(2026)
Minyoung Lee et al.
1.94
Adaptive Layerwise Perturbation: Unifying Off-Policy Corrections for LLM RL
(2026)
Chenlu Ye et al.
1.94
Counting as a minimal probe of language model reliability
(2026)
Tianxiang Dai et al.
1.94
Watch, Remember, Reason: Human-View Video Understanding with MLLMs
(2026)
Jiahao Meng et al.
1.94
The Cold-Start Safety Gap in LLM Agents
(2026)
Chung-En Sun et al.
1.94
Semantic Routing: Exploring Multi-Layer LLM Feature Weighting for Diffusion Transformers
(2026)
Bozhou Li et al.
1.72
APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding
(2025)
Xinyu Yang et al.
1.28
TruthPrInt: Mitigating LVLM Object Hallucination Via Latent Truthful-Guided Pre-Intervention
(2025)
Jinhao Duan et al.
1.28
DiaTool-DPO: Multi-Turn Direct Preference Optimization for Tool-Augmented Large Language Models
(2025)
Sunghee Jung et al.
1.28
Localizing and Editing Knowledge in Text-to-Image Generative Models
(2023)
Samyadeep Basu et al.
β
SafeInfer: Context Adaptive Decoding Time Safety Alignment for Large Language Models
(2024)
Somnath Banerjee et al.
β
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation
(2024)
Zijun Yao et al.
β