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20222026
most citedChain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding

12 citations · 14 across the 11 of their papers we have counts for

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8 papers · 1 filter

cs.CL20242 cited

Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence

Shangbin Feng, Zifeng Wang, Yike Wang +9

We propose Model Swarms, a collaborative search algorithm to adapt LLMs via swarm intelligence, the collective behavior guiding individual systems. Specifically, Model Swarms start…

cs.CL20242 cited

TableRAG: Million-Token Table Understanding with Language Models

Si-An Chen, Lesly Miculicich, Julian Martin Eisenschlos +7

Recent advancements in language models (LMs) have notably enhanced their ability to reason with tabular data, primarily through program-aided mechanisms that manipulate and analyze…

cs.CL2024

CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation

I-Hung Hsu, Zifeng Wang, Long T. Le +4

Grounded generation aims to equip language models (LMs) with the ability to produce more credible and accountable responses by accurately citing verifiable sources. However, existi…

cs.CL202412 cited

Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding

Zilong Wang, Hao Zhang, Chun-Liang Li +8

Table-based reasoning with large language models (LLMs) is a promising direction to tackle many table understanding tasks, such as table-based question answering and fact verificat…

cs.CL2023

Transformers as Graph-to-Graph Models

James Henderson, Alireza Mohammadshahi, Andrei C. Coman +1

We argue that Transformers are essentially graph-to-graph models, with sequences just being a special case. Attention weights are functionally equivalent to graph edges. Our Graph-…

cs.CL2023

SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL (extended)

Ruoxi Sun, Sercan Ö. Arik, Alex Muzio +8

Text-to-SQL, the process of translating natural language into Structured Query Language (SQL), represents a transformative application of large language models (LLMs), potentially…