14 papers
Latent Performance Profiling of Large Language Models
Tanmoy Chakraborty, Ayan Sengupta, Suparna Bhattacharya +7
Large language models (LLMs) frequently achieve impressive scores on standardized benchmarks, yet accuracy alone offers a limited view of their capabilities. Evaluating open-source…
TaxoBell: Gaussian Box Embeddings for Self-Supervised Taxonomy Expansion
Sahil Mishra, Srinitish Srinivasan, Srikanta Bedathur +1
Taxonomies form the backbone of structured knowledge representation across diverse domains, enabling applications such as e-commerce and semantic search. Yet, manual taxonomy expan…
Task-conditioned probing of instruction-tuned multimodal LLMs: Region-specific brain alignment patterns under naturalistic stimuli
Subba Reddy Oota, Khushbu Pahwa, Prachi Jindal +5
Recent voxel-wise multimodal brain encoding studies have shown that multimodal large language models (MLLMs) exhibit a higher degree of brain alignment compared to unimodal models.…
Waking Up Blind: Cold-Start Optimization of Supervision-Free Agentic Trajectories for Grounded Visual Perception
Ashutosh Bajpai, Tamal Majumder, Akshay Nambi +1
Small Vision-Language Models (SVLMs) are efficient task controllers but often suffer from visual brittleness and poor tool orchestration. They typically require expensive supervise…
Markovian ODE-guided scoring can assess the quality of offline reasoning traces in language models
Arghodeep Nandi, Ojasva Saxena, Tanmoy Chakraborty
Reasoning traces produced by generative language models are increasingly used for tasks ranging from mathematical problem solving to automated fact checking. However, existing eval…
Understanding the Physics of Key-Value Cache Compression for LLMs through Attention Dynamics
Samhruth Ananthanarayanan, Ayan Sengupta, Tanmoy Chakraborty
As context windows in LLMs scale to 100K+ tokens, the key-value (KV) cache becomes the dominant memory bottleneck, with recent methods claiming 80-90% savings and minimal benchmark…