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researcher

T. Sherbakov

5 papers here

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

author position
  • middle author1

Across the 1 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.CV1

identity via Semantic Scholar / OpenAlex

activity
20222025
most citedText and Code Embeddings by Contrastive Pre-Training

152 citations · 153 across the 5 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2025

DebateBench: A Challenging Long Context Reasoning Benchmark For Large Language Models

Utkarsh Tiwari, Aryan Seth, Adi Mukherjee +3

We introduce DebateBench, a novel dataset consisting of an extensive collection of transcripts and metadata from some of the world's most prestigious competitive debates. The datas…

cs.CL2025

ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification

Yashwanth M., Vaibhav Singh, Ayush Maheshwari +2

We propose ARISE, a framework that iteratively induces rules and generates synthetic data for text classification. We combine synthetic data generation and automatic rule induction…

cs.CL2024★ 1 cited

Towards Implicit Bias Detection and Mitigation in Multi-Agent LLM Interactions

Angana Borah, Rada Mihalcea

As Large Language Models (LLMs) continue to evolve, they are increasingly being employed in numerous studies to simulate societies and execute diverse social tasks. However, LLMs a…

cs.CL2022★ 152 cited

Text and Code Embeddings by Contrastive Pre-Training

Arvind Neelakantan, Tao Xu, Raul Puri +22

Text embeddings are useful features in many applications such as semantic search and computing text similarity. Previous work typically trains models customized for different use c…

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