Vikas Yadav
24 papers · 2018–2026 · 7 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (45) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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The Questioner
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large language model
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unsupervised learning
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multi-hop reasoning
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benchmark evaluation
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knowledge distillation
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evidence retrieval
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synthetic data
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named entity recognition
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question answering
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instruction fine-tuning
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mathematical reasoning
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direct preference optimization
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uncertainty quantification
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probabilistic modeling
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Papers
DNR Bench: Benchmarking Over-Reasoning in Reasoning LLMs
AAAI 2026
Grammar Search for Multi-Agent Systems
ACL 2026
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework
NAACL 2025
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
EMNLP 2025
CopySpec: Accelerating LLMs with Speculative Copy-and-Paste
EMNLP 2025
Diverse Multi-tool Aggregation with Large Language Models for Enhanced Math Reasoning
EMNLP 2025
Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models
COLING 2025
M2Lingual: Enhancing Multilingual, Multi-Turn Instruction Alignment in Large Language Models
NAACL 2025
Prompting with Phonemes: Enhancing LLMs’ Multilinguality for Non-Latin Script Languages
NAACL 2025
Revitalizing Saturated Benchmarks: A Weighted Metric Approach for Differentiating Large Language Model Performance
NAACL 2025
Variable Layerwise Quantization: A Simple and Effective Approach to Quantize LLMs
ACL 2025
AlpaGasus: Training a Better Alpaca with Fewer Data
ICLR 2024
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
NAACL 2024
Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy
EMNLP 2024
Enhancing Alignment using Curriculum Learning & Ranked Preferences
EMNLP 2024
Explicit over Implict: Explicit Diversity Conditions for Effective Question Answer Generation
COLING 2024
Towards Robust Neural Retrieval with Source Domain Synthetic Pre-Finetuning
COLING 2022
If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering
NAACL 2021
Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering
ACL 2020
Alignment over Heterogeneous Embeddings for Question Answering
NAACL 2019
Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models
NAACL 2019
Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering
EMNLP 2019
University of Arizona at SemEval-2019 Task 12: Deep-Affix Named Entity Recognition of Geolocation Entities
SemEval 2019
A Survey on Recent Advances in Named Entity Recognition from Deep Learning models
COLING 2018