most citedConvolutional Neural Networks for Sentence Classification

1.1k citations · 1.2k across the 10 of their papers we have counts for

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cs.CL2025

On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts

Linlu Qiu, Cedegao E. Zhang, Joshua B. Tenenbaum +2

Language use is shaped by pragmatics -- i.e., reasoning about communicative goals and norms in context. As language models (LMs) are increasingly used as conversational agents, it…

cs.CL20243 cited

Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps

Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh +3

When asked to summarize articles or answer questions given a passage, large language models (LLMs) can hallucinate details and respond with unsubstantiated answers that are inaccur…

cs.CL2024

MDCR: A Dataset for Multi-Document Conditional Reasoning

Peter Baile Chen, Yi Zhang, Chunwei Liu +3

The same real-life questions posed to different individuals may lead to different answers based on their unique situations. For instance, whether a student is eligible for a schola…

cs.CL2024

Improving Dialogue Agents by Decomposing One Global Explicit Annotation with Local Implicit Multimodal Feedback

Dong Won Lee, Hae Won Park, Yoon Kim +2

We describe an approach for aligning an LLM-based dialogue agent based on global (i.e., dialogue-level) rewards, while also taking into account naturally-occurring multimodal signa…

cs.CL2024

Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models

Yue Zhou, Yada Zhu, Diego Antognini +2

This paper studies the relationship between the surface form of a mathematical problem and its solvability by large language models. We find that subtle alterations in the surface…

cs.CL20244 cited

Data Engineering for Scaling Language Models to 128K Context

Yao Fu, Rameswar Panda, Xinyao Niu +4

We study the continual pretraining recipe for scaling language models' context lengths to 128K, with a focus on data engineering. We hypothesize that long context modeling, in part…