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Jacob Andreas

7 papers hereh-index 4295 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4
  • last author3

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.LG3
same name
  • Jacob Andreas — 67 papers, h 53
  • Jacob Andreas — 9 papers, h 7
  • Jacob Andreas — 7 papers, h 6
  • Jacob Andreas — 6 papers, h 4
  • Jacob Andreas — 6 papers, h 5
  • Jacob Andreas — 6 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedDecomposing Uncertainty for Large Language Models through Input Clarification Ensembling

4 citations · 5 across the 7 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

VISUALSKILL: Multimodal Skills for Computer-Use Agents

Ziyan Jiang, Li An, Yujian Liu +5

Computer-use agents (CUAs) approach human-level performance on standardised benchmarks but still struggle on long-horizon tasks and unseen software. Existing skill libraries addres…

cs.CL2025

ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning

Bairu Hou, Yang Zhang, Jiabao Ji +4

We present ThinkPrune, a simple yet effective method for pruning the thinking length for long-thinking LLMs, which has been found to often produce inefficient and redundant thinkin…

cs.CL2024★ 1 cited

A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation

Bairu Hou, Yang Zhang, Jacob Andreas +1

This paper focuses on the task of hallucination detection, which aims to determine the truthfulness of LLM-generated statements. To address this problem, a popular class of methods…

cs.CL2023★ 4 cited

Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling

Bairu Hou, Yujian Liu, Kaizhi Qian +3

Uncertainty decomposition refers to the task of decomposing the total uncertainty of a predictive model into aleatoric (data) uncertainty, resulting from inherent randomness in the…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.