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From the 1 of 20 linked papers with an AI index.

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20242026
most citedNeural steering vectors reveal dose and exposure-dependent impacts of human-AI relationships

2 citations · 2 across the 6 of their papers we have counts for

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11 papers · 1 filter

cs.CL2026

APEX-Accounting

Julien Benchek, Austin Bennett, Jasmin Kern +8

The paper presents APEX-Accounting, a benchmark for evaluating how well advanced language models can perform real accounting tasks such as reconciliation, expense accrual, transact…

cs.CL2026

PRISM-X: Experiments on Personalised Fine-Tuning with Human and Simulated Users

Hannah Rose Kirk, Liu Leqi, Fanzhi Zeng +4

Personalisation is a standard feature of conversational AI systems used by millions; yet, the efficacy of personalisation methods is often evaluated in academic research using simu…

cs.CL2026

LMUnit: Fine-grained Evaluation with Natural Language Unit Tests

Jon Saad-Falcon, Rajan Vivek, William Berrios +6

As language models become integral to critical workflows, assessing their behavior remains a fundamental challenge -- human evaluation is costly and noisy, while automated metrics…

cs.CL2026

APEX-Agents

Bertie Vidgen, Austin Mann, Abby Fennelly +21

We introduce the AI Productivity Index for Agents (APEX-Agents), a benchmark for assessing whether AI agents can execute long-horizon, cross-application tasks created by investment…

cs.CL2025

A Good Plan is Hard to Find: Aligning Models with Preferences is Misaligned with What Helps Users

Nishant Balepur, Matthew Shu, Yoo Yeon Sung +5

To assist users in complex tasks, LLMs generate plans: step-by-step instructions towards a goal. While alignment methods aim to ensure LLM plans are helpful, they train (RLHF) or e…

cs.CL2025

Classification is a RAG problem: A case study on hate speech detection

Richard Willats, Josh Pennington, Aravind Mohan +1

Robust content moderation requires classification systems that can quickly adapt to evolving policies without costly retraining. We present classification using Retrieval-Augmented…