most citedCitegeist: Automated Generation of Related Work Analysis on the arXiv Corpus

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

InvestigationWorlds: An Agentic Environment for Legal Investigation

Albert Yu Sun, Andrew Benard, Sil Hamilton +8

We introduce InvestigationWorlds, an agentic environment for legal investigation. We build on an underused artifact of U.S. civil litigation: the summary judgment motion. This moti…

cs.AI2026

CorporateBench: Large-Scale Q&A Benchmarking with Temporal Knowledge Bases

Sil Hamilton, Albert Yu Sun, Oscar J. Romero +4

LLMs are increasingly able to answer complex questions about enterprise-scale document collections. But evaluation is hard: companies don't want to share internal communications, a…

cs.CL2025

-CoT: Prolog-Initialized Chain-of-Thought Prompting for Multi-Hop Question-Answering

Chao Wan, Albert Gong, Mihir Mishra +3

Chain-of-Thought (CoT) prompting significantly enhances large language models' (LLMs) problem-solving capabilities, but still struggles with complex multi-hop questions, often fall…

cs.LG2025★ 1 cited

Citegeist: Automated Generation of Related Work Analysis on the arXiv Corpus

Claas Beger, Carl-Leander Henneking

Large Language Models provide significant new opportunities for the generation of high-quality written works. However, their employment in the research community is inhibited by th…

cs.LG2025★ 1 cited

Decoding Human Preferences in Alignment: An Improved Approach to Inverse Constitutional AI

Carl-Leander Henneking, Claas Beger

Traditional methods for aligning Large Language Models (LLMs), such as Reinforcement Learning from Human Feedback (RLHF) and Direct Preference Optimization (DPO), rely on implicit…