activity
20182026
most citedTeAAL: A Declarative Framework for Modeling Sparse Tensor Accelerators

19 citations · 51 across the 15 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.PL2025

Enforcing Temporal Constraints for LLM Agents

Adharsh Kamath, Sishen Zhang, Calvin Xu +3

LLM-based agents are deployed in safety-critical applications, yet current guardrail systems fail to prevent violations of temporal safety policies, requirements that govern the or…

cs.CL2025

UTF-8 Plumbing: Byte-level Tokenizers Unavoidably Enable LLMs to Generate Ill-formed UTF-8

Preston Firestone, Shubham Ugare, Gagandeep Singh +1

Subword tokenization segments input text according to a pre-defined vocabulary to feed it into a language model; the language model, in turn, generates a sequence made from this sa…

cs.LG2025

RefineStat: Efficient Exploration for Probabilistic Program Synthesis

Madhav Kanda, Shubham Ugare, Sasa Misailovic

Probabilistic programming offers a powerful framework for modeling uncertainty, yet statistical model discovery in this domain entails navigating an immense search space under stri…

cs.LG2025

DINGO: Constrained Inference for Diffusion LLMs

Tarun Suresh, Debangshu Banerjee, Shubham Ugare +2

Diffusion LLMs have emerged as a promising alternative to conventional autoregressive LLMs, offering significant potential for improved runtime efficiency. However, existing diffus…

cs.PL2025

CRANE: Reasoning with constrained LLM generation

Debangshu Banerjee, Tarun Suresh, Shubham Ugare +2

Code generation, symbolic math reasoning, and other tasks require LLMs to produce outputs that are both syntactically and semantically correct. Constrained LLM generation is a prom…