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20242026
most citedAn Application of Large Language Models to Coding Negotiation Transcripts

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2026

VERITAS: Verifier-Guided Proof Search for Zero-Shot Formal Theorem Proving

Manish Acharya, Zhenyu Liao, Yueke Zhang +3

LLM-based formal provers often collapse rich verifier signals (syntax errors, type mismatches, partial goal progress) into a binary pass/fail bit. We present VERITAS, a zero-shot f…

cs.GR2026

STA-FEM: Exact Streaming Assembly for Preplanned Dynamic Tetrahedral Topology Edits

Manish Acharya, David Hyde

Dynamic tetrahedral simulation pipelines rebuild topology-dependent solver state after every fracture, refinement, or merge event - discarding structural continuity that survives e…

cs.LG2025

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization

Manish Acharya, David Hyde

The sliced Wasserstein distance (SW) reduces optimal transport on to a sum of one-dimensional projections, and thanks to this efficiency, it is widely used in geomet…

cs.SE2025

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation

Manish Acharya, Yifan Zhang, Kevin Leach +1

Optimizing software performance through automated code refinement offers a promising avenue for enhancing execution speed and efficiency. Despite recent advancements in LLMs, a sig…

cs.CL20242 cited

An Application of Large Language Models to Coding Negotiation Transcripts

Ray Friedman, Jaewoo Cho, Jeanne Brett +55

In recent years, Large Language Models (LLM) have demonstrated impressive capabilities in the field of natural language processing (NLP). This paper explores the application of LLM…