3 papers
cs.LG2025
On the Internal Semantics of Time-Series Foundation Models
Atharva Pandey, Abhilash Neog, Gautam Jajoo
Time-series Foundation Models (TSFMs) have recently emerged as a universal paradigm for learning across diverse temporal domains. However, despite their empirical success, the inte…
cs.CL2025
RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation
Xinnuo Xu, Rachel Lawrence, Kshitij Dubey +7
Recent Large Language Models (LLMs) have reported high accuracy on reasoning benchmarks. However, it is still unclear whether the observed results arise from true reasoning or from…
cs.CL2025
DeduCE: Deductive Consistency as a Framework to Evaluate LLM Reasoning
Atharva Pandey, Kshitij Dubey, Rahul Sharma +1
Despite great performance on Olympiad-level reasoning problems, frontier large language models can still struggle on high school math when presented with novel problems outside sta…