VL
Vijay Lingam
cs.LGcs.AIcs.CLstat.MLcs.IRcs.SI
On Valency
published · living versionsW_3h6nccpq·v1 · currentpublished
Projected Distillation: On Learning to Solve Hard Problems from Close, Correct Targets
with Shripad V. Deshmukh, Christian Bock, Kangrui Ruan, Abhijeet Awasthi +2
1 version
Preprints & journals
17 papers in the corpus · 2020–2026Projected Distillation: On Learning to Solve Hard Problems from Close, Correct Targets2610.27467v1 · Shripad V. Deshmukh, Christian Bock, Kangrui Ruan et al.2026 · 0 citationsarXivon Valency
Reward-Aligned Distillation2610.14572v1 · Yilan Chen, Zian Su, Manish Prajapat et al.2026 · 0 citationsarXiv
Token Utility for On-Policy Distillation via Local Trust-Region Optimization2610.18883v1 · Narayanan Sadagopan, Yilan Chen, Vijay Lingam2026 · 0 citationsarXiv
AHEAD: Adaptive Hindsight with Environment-Augmented Distillation for Agentic RL2608.24114v1 · Xiaolong Jin, Dingmin Wang, Vijay Lingam et al.2026 · 0 citationsarXiv
Reward-Gated On-Policy Distillation2607.04037v1 · Mohammad Sadegh Akhondzadeh, Vijay Lingam, Atula Tejaswi et al.2026 · 0 citationsarXiv
SCATR: Simple Calibrated Test-Time Ranking2604.16535v2 · Divya Shyamal, Marta Knezevi'c, Lan Tran et al.2026 · 0 citationsarXiv
ExecTune: Effective Steering of Black-Box LLMs with Guide Models2604.09741v1 · Vijay Lingam, Aditya Golatkar, Anwesan Pal et al.2026 · 0 citationsarXiv
MURPHY: Feedback-Aware GRPO with Retrospective Credit Assignment for Multi-Turn Code Generation2511.07833v3 · Chanakya Ekbote, Vijay Lingam, Sujay Sanghavi et al.2025 · 0 citationsarXiv
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors2405.19597v1 · Vijay Lingam, Atula Tejaswi, Aditya Vavre et al.2024 · 5 citationsarXiv
Probing Graph Representations2303.03951v1 · Mohammad Sadegh Akhondzadeh, Vijay Lingam, Aleksandar Bojchevski2023 · 3 citationsarXiv
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks2112.03499v1 · Vijay Lingam, Chanakya Ekbote, Manan Sharma et al.2021 · 5 citationsarXiv
Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks2107.13312v1 · Vijay Lingam, Rahul Ragesh, Arun Iyer et al.2021 · 0 citationsarXiv
Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs2106.12807v1 · Vijay Lingam, Rahul Ragesh, Arun Iyer et al.2021 · 6 citationsarXiv
GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks2102.10403v1 · Vijay Lingam, Arun Iyer, Rahul Ragesh2021 · 2 citationsarXiv
User Embedding based Neighborhood Aggregation Method for Inductive Recommendation2102.07575v2 · Rahul Ragesh, Sundararajan Sellamanickam, Vijay Lingam et al.2021 · 3 citationsarXiv
HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification2008.12842v1 · Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer et al.2020 · 24 citationsarXiv
A Graph Convolutional Network Composition Framework for Semi-supervised Classification2004.03994v1 · Rahul Ragesh, Sundararajan Sellamanickam, Vijay Lingam et al.2020 · 3 citationsarXiv
Career total: 24 works. 17 are in this corpus.
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