Aishik Nagar
aishiknagar
·
AI & ML interests
None yet
Recent Activity
liked
a model
6 days ago
kernels-community/vllm-flash-attn3
liked
a model
about 2 months ago
nvidia/NVIDIA-Nemotron-Nano-9B-v2
liked
a model
3 months ago
internistai/base-7b-v0.2
Organizations
Predictive and Classification tasks
Analysis papers
-
Embodied Agents Meet Personalization: Exploring Memory Utilization for Personalized Assistance
Paper • 2505.16348 • Published • 52 -
Exploring the Latent Capacity of LLMs for One-Step Text Generation
Paper • 2505.21189 • Published • 61 -
Large Language Models are Locally Linear Mappings
Paper • 2505.24293 • Published • 14 -
Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers
Paper • 2507.02694 • Published • 19
Benchmarks
RL and Agents
-
s3: You Don't Need That Much Data to Train a Search Agent via RL
Paper • 2505.14146 • Published • 18 -
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI
Paper • 2505.19443 • Published • 15 -
ARM: Adaptive Reasoning Model
Paper • 2505.20258 • Published • 45 -
Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles
Paper • 2505.19914 • Published • 43
Multimodality
LLMs foe evaluation and Judge models
Positions and Surveys
Diffusion
-
Diffusion Classifiers Understand Compositionality, but Conditions Apply
Paper • 2505.17955 • Published • 22 -
LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs
Paper • 2506.14429 • Published • 44 -
LangScene-X: Reconstruct Generalizable 3D Language-Embedded Scenes with TriMap Video Diffusion
Paper • 2507.02813 • Published • 60
New Architectures
Multimodality
Predictive and Classification tasks
LLMs foe evaluation and Judge models
Analysis papers
-
Embodied Agents Meet Personalization: Exploring Memory Utilization for Personalized Assistance
Paper • 2505.16348 • Published • 52 -
Exploring the Latent Capacity of LLMs for One-Step Text Generation
Paper • 2505.21189 • Published • 61 -
Large Language Models are Locally Linear Mappings
Paper • 2505.24293 • Published • 14 -
Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers
Paper • 2507.02694 • Published • 19
Positions and Surveys
Benchmarks
Diffusion
-
Diffusion Classifiers Understand Compositionality, but Conditions Apply
Paper • 2505.17955 • Published • 22 -
LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs
Paper • 2506.14429 • Published • 44 -
LangScene-X: Reconstruct Generalizable 3D Language-Embedded Scenes with TriMap Video Diffusion
Paper • 2507.02813 • Published • 60
RL and Agents
-
s3: You Don't Need That Much Data to Train a Search Agent via RL
Paper • 2505.14146 • Published • 18 -
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI
Paper • 2505.19443 • Published • 15 -
ARM: Adaptive Reasoning Model
Paper • 2505.20258 • Published • 45 -
Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles
Paper • 2505.19914 • Published • 43